Detecting changes at cell sites and surrounding areas using unmanned aerial vehicles

ABSTRACT

Systems and method for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV) and a processing device include creating an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography; providing the initial computer model to one or more of the UAV and the processing device; capturing current data of the cell site and the surrounding geography at a second point in time using the UAV; comparing the current data to the initial computer model by the processing device; and identifying variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time.

CROSS-REFERENCE TO RELATED APPLICATION(S)

The present patent/application is continuation-in-part of and the content of each are incorporated by reference herein:

Filing Date Serial No. Title May 17, 2017 15/597,320 MODELING FIBER CABLING ASSOCIATED WITH CELL SITES Apr. 6, 2017 15/480,792 SUBTERRANEAN 3D MODELING AT CELL SITES Mar. 27, 2017 15/469,841 CELL SITE AUDIT AND SURVEY VIA PHOTO STITCHING Jan. 25, 2017 15/415,040 SYSTEMS AND METHODS FOR OBTAINING ACCURATE 3D MODELING DATA USING MULTIPLE CAMERAS Oct. 31, 2016 15/338,700 SYSTEMS AND METHODS FOR OBTAINING ACCURATE 3D MODELING DATA USING UAVS FOR CELL SITES Oct. 3, 2016 15/283,699 OBTAINING 3D MODELING DATA USING UAVS FOR CELL SITES Aug. 19, 2016 15/241,239 3D MODELING OF CELL SITES TO DETECT CONFIGURATION AND SITE CHANGES Jul. 15, 2016 15/211,483 CLOSE-OUT AUDIT SYSTEMS AND METHODS FOR CELL SITE INSTALLATION AND MAINTENANCE May 31, 2016 15/168,503 VIRTUALIZED SITE SURVEY SYSTEMS AND METHODS FOR CELL SITES May 20, 2016 15/160,890 3D MODELING OF CELL SITES AND CELL TOWERS WITH UNMANNED AERIAL VEHICLES Apr. 14, 2015 14/685,720 UNMANNED AERIAL VEHICLE-BASED SYSTEMS AND METHODS ASSOCIATED WITH CELL SITES AND CELL TOWERS

FIELD OF THE DISCLOSURE

The present disclosure relates generally to cell site monitoring systems and methods. More particularly, the present disclosure relates to systems and methods to detect changes cell sites and the surrounding area using Unmanned Aerial Vehicles (UAVs).

BACKGROUND OF THE DISCLOSURE

Due to the geographic coverage nature of wireless service, there are hundreds of thousands of cell towers in the United States. For example, in 2014, it was estimated that there were more than 310,000 cell towers in the United States. Cell towers can have heights up to 1,500 feet or more. There are various requirements for cell site workers (also referred to as tower climbers or transmission tower workers) to climb cell towers to perform maintenance, audit, and repair work for cellular phone and other wireless communications companies. This is both a dangerous and costly endeavor. For example, between 2003 and 2011, 50 tower climbers died working on cell sites (see, e.g., www.pbs.org/wgbh/pages/frontline/social-issues/cell-tower-deaths/in-race-for-better-cell-service-men-who-climb-towers-pay-with-their-lives/). Also, OSHA estimates that working on cell sites is 10 times more dangerous than construction work, generally (see, e.g., www.propublica.org/article/cell-tower-work-fatalities-methodology). Furthermore, the tower climbs also can lead to service disruptions caused by accidents. Thus, there is a strong desire, from both a cost and safety perspective, to reduce the number of tower climbs.

Concurrently, the use of unmanned aerial vehicles (UAV), referred to as drones, is evolving. There are limitations associated with UAVs, including emerging FAA rules and guidelines associated with their commercial use. It would be advantageous to leverage the use of UAVs to reduce tower climbs of cell towers. US 20140298181 to Rezvan describes methods and systems for performing a cell site audit remotely. However, Rezvan does not contemplate performing any activity locally at the cell site, nor various aspects of UAV use. US20120250010 to Hannay describes aerial inspections of transmission lines using drones. However, Hannay does not contemplate performing any activity locally at the cell site, nor various aspects of constraining the UAV use. Specifically, Hannay contemplates a flight path in three dimensions along a transmission line.

Of course, it would be advantageous to further utilize UAVs to actually perform operations on a cell tower. However, adding one or more robotic arms, carrying extra equipment, etc. presents a significantly complex problem in terms of UAV stabilization while in flight, i.e., counterbalancing the UAV to account for the weight and movement of the robotic arms. Research and development continues in this area, but current solutions are complex and costly, eliminating the drivers for using UAVs for performing cell tower work.

3D modeling is important for cell site operators, cell tower owners, engineers, etc. There exist current techniques to make 3D models of physical sites such as cell sites. One approach is to take hundreds or thousands of pictures and to use software techniques to combine these pictures to form a 3D model. Generally, conventional approaches for obtaining the pictures include fixed cameras at the ground with zoom capabilities or pictures via tower climbers. It would be advantageous to utilize a UAV to obtain the pictures, providing 360-degree photos from an aerial perspective. Use of aerial pictures is suggested in US 20100231687 to Armory. However, this approach generally assumes pictures taken from a fixed perspective relative to the cell site, such as via a fixed, mounted camera and a mounted camera in an aircraft. It has been determined that such an approach is moderately inaccurate during 3D modeling and combination with software due to slight variations in location tracking capabilities of systems such as Global Positioning Satellite (GPS). It would be advantageous to adapt a UAV to take pictures and provide systems and methods for accurate 3D modeling based thereon to again leverage the advantages of UAVs over tower climbers, i.e., safety, climbing speed and overall speed, cost, etc.

In the process of planning, installing, maintaining, and operating cell sites and cell towers, site surveys are performed for testing, auditing, planning, diagnosing, inventorying, etc. Conventional site surveys involve physical site access including access to the top of the cell tower, the interior of any buildings, cabinets, shelters, huts, hardened structures, etc. at the cell site, and the like. With over 200,000 cell sites in the U.S., geographically distributed everywhere, site surveys can be expensive, time-consuming, and complex. The various parent applications associated herewith describe techniques to utilize UAVs to optimize and provide safer site surveys. It would also be advantageous to further optimize site surveys by minimizing travel through virtualization of the entire process.

Again, with over 200,000 cell sites in the U.S., each time there is maintenance or installation activity at each cell site, operators and owners typically require a close-out audit which is done to document and verify the work performed. For example, the maintenance or installation activity can be performed by a third-party installation firm (separate from an operator or owner) and an objective of the close-out audit is to provide the operator or owner verification of the work as well as that the third-party installation firm did the work in a manner consistent with the operator or owner's expectations. Conventionally, close-out audits are performed by another firm, i.e., a third-party inspection firm, separate from the third-party installation firm, the owner, and the operator. Disadvantageously, this conventional approach with a separate third-party inspection firm is inefficient, expensive, etc.

Also, with over 200,000 cell sites, it is difficult to monitor activity, namely configurations, physical structure, surroundings, etc., and associated changes. The typical arrangement includes a cell site owner, which is typically a real estate company, leasing space to cell site operators, i.e., wireless service providers. It is incumbent that the cell site owners maintain accurate records of the cell sites, including the configuration (i.e., are the operators deploying more equipment than agreements state?), physical structure (i.e., are there mechanic issues with the cell site?), surroundings (i.e., are there safety issues?), and the like. Conventional approaches require physical site surveys to obtain such information which with over 200,000 cells sites is expensive, time consuming, slow, etc.

The number of cell sites continue to grow and with the advent of 5G, to dramatically increase. For example, with 5G, small cell deployments are expected to increase to address capacity and coverage. All cell sites require so-called backhaul to provide network access to the cell site. One technique for backhaul includes fiber optic connections to the cell site. For site owners, it can be problematic to determine fiber optic cabling to a cell site, e.g., are there currently cables at the location, what are the possibilities of new cabling, etc. As the number of cell sites increase, it is important to get this data efficiently.

BRIEF SUMMARY OF THE DISCLOSURE

Systems and method for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV) and a processing device include creating an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography; providing the initial computer model to one or more of the UAV and the processing device; capturing current data of the cell site and the surrounding geography at a second point in time using the UAV; comparing the current data to the initial computer model by the processing device; and identifying variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is illustrated and described herein with reference to the various drawings, in which like reference numbers are used to denote like system components/method steps, as appropriate, and in which:

FIG. 1 is a diagram of a side view of an exemplary cell site;

FIG. 2 is a diagram of a cell site audit performed with an UAV;

FIG. 3 is a screen diagram of a view of a graphical user interface (GUI) on a mobile device while piloting the UAV;

FIG. 4 is a perspective view of an exemplary UAV;

FIG. 5 is a block diagram of a mobile device;

FIG. 6 is a flow chart of a cell site audit method utilizing the UAV and the mobile device;

FIG. 7 is a network diagram of various cell sites deployed in a geographic region;

FIG. 8 is a diagram of the cell site and an associated launch configuration and flight for the UAV to obtain photos for a 3D model of the cell site;

FIG. 9 is a satellite view of an exemplary flight of the UAV at the cell site;

FIG. 10 is a side view of an exemplary flight of the UAV at the cell site;

FIG. 11 is a logical diagram of a portion of a cell tower along with associated photos taken by the UAV at different points relative thereto;

FIG. 12 is a screen shot of a GUI associated with post processing photos from the UAV;

FIG. 13 is a screen shot of a 3D model constructed from a plurality of 2D photos taken from the UAV as described herein;

FIGS. 14-19 are various screen shots illustrate GUIs associated with a 3D model of a cell site based on photos taken from the UAV as described herein;

FIG. 20 is a photo of the UAV in flight at the top of a cell tower;

FIG. 21 is a flowchart of a process for modeling a cell site with an Unmanned Aerial Vehicle (UAV);

FIG. 22 is a diagram of an exemplary interior of a building, such as the shelter or cabinet, at the cell site;

FIG. 23 is a flowchart of a virtual site survey process for the cell site;

FIG. 24 is a flowchart illustrates a close-out audit method performed at a cell site subsequent to maintenance or installation work;

FIG. 25 is a flowchart of a 3D modeling method to detect configuration and site changes;

FIG. 26 is a flow diagram of a 3D model creation process;

FIG. 27 is a flowchart of a method using an Unmanned Aerial Vehicle (UAV) to obtain data capture at a cell site for developing a three dimensional (3D) thereof;

FIG. 28 is a flowchart of a 3D modeling method for capturing data at the cell site, the cell tower, etc. using the UAV;

FIGS. 29A and 29B are block diagrams of a UAV with multiple cameras (FIG. 29A) and a camera array (FIG. 29B);

FIG. 30 is a flowchart of a method using multiple cameras to obtain accurate three-dimensional (3D) modeling data;

FIGS. 31 and 32 are diagrams of a multiple camera apparatus and use of the multiple camera apparatus in a shelter or cabinet or the interior of a building;

FIG. 33 is a flowchart of a data capture method in the interior of a building using the multiple camera apparatus;

FIG. 34 is a flowchart of a method for verifying equipment and structures at the cell site using 3D modeling;

FIG. 35 is a diagram of a photo stitching User Interface (UI) for cell site audits, surveys, inspections, etc. remotely;

FIG. 36 is a flowchart illustrates a method for performing a cell site audit or survey remotely via a User Interface (UI);

FIG. 37 is a perspective diagram of a 3D model of the cell site, the cell tower, the cell site components, and the shelter or cabinet along with surrounding geography and subterranean geography;

FIG. 38 is a flowchart of a method for creating a three-dimensional (3D) model of a cell site for one or more of a cell site audit, a site survey, and cell site planning and engineering;

FIG. 39 is a perspective diagram of the 3D model of FIG. 37 of the cell site, the cell tower, the cell site components, and the shelter or cabinet along with surrounding geography, subterranean geography, and including fiber connectivity;

FIG. 40 is a flowchart of a method for creating a three-dimensional (3D) model of a cell site and associated fiber connectivity for one or more of a cell site audit, a site survey, and cell site planning and engineering;

FIG. 41 is a perspective diagram of a cell site with the surrounding geography; and

FIG. 42 is a flowchart of a method for cell site inspection by a cell site operator using the UAV.

DETAILED DESCRIPTION OF THE DISCLOSURE

Again, the present disclosure relates to systems and methods to detect changes cell sites and the surrounding area using Unmanned Aerial Vehicles (UAVs). Specifically, the systems and methods can be utilized by cell site operators (e.g., real estate companies) to quickly and efficiently determine the current state of a cell site including the surrounding geography. For example, the surrounding geography can include access roads, trees, physical structures, cell tower structure, etc. The systems and methods utilize a UAV to detect changes (deltas) between two different points in time in a quick and efficient manner. The changes can include changes to the cell tower, ground disturbances, potential hazards, loss of gravel on the access road, etc. Cell site operators can utilize the systems and methods for proactive monitoring and maintenance of their facilities. Note, a cell site operator may own or manage thousands or hundreds of thousands of sites, and the systems and methods are critical for efficiently handling the vast number of sites.

Further, the present disclosure relates to systems and methods modeling fiber optic cabling associated with cell sites such as using Unmanned Aerial Vehicles (UAVs) or the like. Specifically, the systems and methods include building a three-dimensional (3D) model of the cell site including associated surroundings as well as focusing on fiber optic cables to/from the cell site. The 3D model can be used to remotely engineer backhaul access to the cell site. For example, the 3D model can be used to determine equipment placement for optimal connectivity to a fiber network. Also, the 3D model can be used to determine where to install fiber cabling if needed. As noted herein, next-gen small cells can be installed practically anywhere and the 3D model can be used to aid in the planning, engineering, and installation.

Further, in an exemplary embodiment, the present disclosure relates to systems and methods for cell site modeling including subterranean modeling of the area associated with the cell site. Specifically, the systems and methods include building a three-dimensional (3D) model of the cell site including the cell tower and associated cell site components, shelters/buildings and interiors, as well as a model of the surrounding geographic area including subterranean modeling. The 3D model can be used to perform cell site audits, planning, monitoring, etc. remotely. The subterranean modeling provides insight for site engineering such as to determine locations of underground utility cabling, pipes, etc., to determine structural aspects of site construction, to proactively determine problems, etc.

Further, in an exemplary embodiment, the present disclosure relates to systems and methods for cell site audits and surveys using photo stitching based on photos taken at the cell site via various techniques including Unmanned Aerial Vehicles (UAVs). A remote user can use a photo stitched User Interface (UI) to perform a cell site audit, survey, inspection by navigating, zooming, etc. through a plurality of photos with links between one another. With the UI, the remote user can zoom in, virtually walk around, etc. and perform functions without a physical site visit.

Further, in an exemplary embodiment, the present disclosure relates to systems and methods for verifying cell sites using accurate three-dimensional (3D) modeling data. In an exemplary embodiment, systems and method for verifying a cell site utilizing an Unmanned Aerial Vehicle (UAV) include providing an initial point cloud related to the cell site to the UAV; developing a second point cloud based on current conditions at the cell site, wherein the second point cloud is based on data acquisition using the UAV at the cell site; detecting variations between the initial point cloud and the second point cloud; and, responsive to detecting the variations, determining whether the variations are any of compliance related, load issues, and defects associated with any equipment or structures at the cell site.

Further, in an exemplary embodiment, present disclosure relates to systems and methods for obtaining accurate three-dimensional (3D) modeling data using a multiple camera apparatus. Specifically, the multiple camera apparatus contemplates use in a shelter or the like to simultaneously obtain multiple photos for purposes of developing a three-dimensional (3D) model of the shelter for use in a cell site audit or the like. The multiple camera apparatus can be portable or mounted within the shelter. The multiple camera apparatus includes a support beam with a plurality of cameras associated therewith. The plurality of cameras each face a different direction, angle, zoom, etc. and are coordinated to simultaneously obtain photos. Once obtained, the photos can be used to create a 3D model. Advantageously, the multiple camera apparatus streamlines data acquisition time as well as ensures the proper angles and photos are obtained. The multiple camera apparatus also is simply to use allowing untrained technicians the ability to easily perform data acquisition.

Further, in an exemplary embodiment, the present disclosure relates to systems and methods for obtaining accurate three-dimensional (3D) modeling data using multiple cameras such as with Unmanned Aerial Vehicles (UAVs) (also referred to as “drones”) or the like at cell sites, cell towers, etc. The systems and methods utilize two or more cameras simultaneously to capture the modeling data and associated synchronization techniques to ensure the modeling data is accurately and timely captured. The multiple cameras can be part of a camera array. The camera array can be a single hardware entity or on different UAVs. Variously, the multiple cameras are communicatively coupled to one another and configured to take photos together, such as the same time, but different vantage points, angles, perspective, etc. Taking the photos together enables efficient data capture to create 3D models, such as at cell sites. Using the systems and methods herein, the process of data capture can be at least twice as fast which is important for field operations where multiple cell sites need to be characterized.

Further, in an exemplary embodiment, the present disclosure relates to systems and methods for obtaining three-dimensional (3D) modeling data using Unmanned Aerial Vehicles (UAVs) (also referred to as “drones”) or the like at cell sites, cell towers, etc. Variously, the systems and methods describe various techniques using UAVs or the like to obtain data, i.e., pictures and/or video, used to subsequently create a 3D model of a cell site. Various uses of the 3D model are also described including site surveys, site monitoring, engineering, etc.

Further, in an exemplary embodiment, the present disclosure relates to three-dimensional (3D) modeling of cell sites to detect configuration and site changes. Again, the challenge for cell site owners is to manage thousands of cell sites which are geographically distributed. The 3D modeling systems and methods utilize various techniques to obtain data, to create 3D models, and to detect changes in configurations and surroundings. The 3D models can be created at two or more different points in time, and with the different 3D models, a comparison can be made to detect the changes. Advantageously, the 3D modeling systems and methods allow cell site operators to efficiently manage the cell sites without repeated physical site surveys.

Further, in various exemplary embodiments, the present disclosure relates to close-out audit systems and methods for cell site installation and maintenance. Specifically, the systems and methods eliminate the separate third-party inspection firm for the close-out audit. The systems and methods include the installers (i.e., from the third-party installation firm, the owner, the operator, etc.) performing video capture subsequent to the installation and maintenance and using various techniques to obtain data from the video capture for the close-out audit. The close-out audit can be performed off-site with the data from the video capture thereby eliminating unnecessary tower climbs, site visits, and the like.

Further, in various exemplary embodiments, the present disclosure relates to virtualized site survey systems and methods using three-dimensional (3D) modeling of cell sites and cell towers with and without unmanned aerial vehicles. The virtualized site survey systems and methods utilizing photo data capture along with location identifiers, points of interest, etc. to create three-dimensional (3D) modeling of all aspects of the cell sites, including interiors of buildings, cabinets, shelters, huts, hardened structures, etc. As described herein, a site survey can also include a site inspection, cell site audit, or anything performed based on the 3D model of the cell site including building interiors. With the data capture, 3D modeling can render a completely virtual representation of the cell sites. The data capture can be performed by on-site personnel, automatically with fixed, networked cameras, or a combination thereof. With the data capture and the associated 3D model, engineers and planners can perform site surveys, without visiting the sites leading to significant efficiency in cost and time. From the 3D model, any aspect of the site survey can be performed remotely including determinations of equipment location, accurate spatial rendering, planning through drag and drop placement of equipment, access to actual photos through a Graphical User Interface, indoor texture mapping, and equipment configuration visualization mapping the equipment in a 3D rack.

Further, in various exemplary embodiments, the present disclosure relates to three-dimensional (3D) modeling of cell sites and cell towers with unmanned aerial vehicles. The present disclosure includes UAV-based systems and methods for 3D modeling and representing of cell sites and cell towers. The systems and methods include obtaining various pictures via a UAV at the cell site, flying around the cell site to obtain various different angles of various locations, tracking the various pictures (i.e., enough pictures to produce an acceptable 3D model, usually hundreds, but could be more) with location identifiers, and processing the various pictures to develop a 3D model of the cell site and the cell tower. Additionally, the systems and methods focus on precision and accuracy ensuring the location identifiers are as accurate as possible for the processing by using multiple different location tracking techniques as well as ensuring the UAV is launched from a same location and/or orientation for each flight. The same location and/or orientation, as described herein, was shown to provide more accurate location identifiers versus arbitrary location launches and orientations for different flights. Additionally, once the 3D model is constructed, the systems and methods include an application which enables cell site owners and cell site operators to “click” on any location and obtain associated photos, something extremely useful in the ongoing maintenance and operation thereof. Also, once constructed, the 3D model is capable of various measurements including height, angles, thickness, elevation, even Radio Frequency (RF), and the like.

Still further, in additional exemplary embodiments, UAV-based systems and methods are described associated with cell sites, such as for providing cell tower audits and the like, including a tethered configuration. Various aspects of UAVs are described herein to reduce tower climbs in conjunction with cell tower audits. Additional aspects are described utilizing UAVs for other functions, such as flying from cell tower to cell tower to provide audit services and the like. Advantageously, using UAVs for cell tower audits exponentially improves the safety of cell tower audits and has been shown by Applicants to reduce costs by over 40%, as well as drastically improving audit time. With the various aspects described herein, a UAV-based audit can provide superior information and quality of such information, including a 360 degree tower view. In one aspect, the systems and methods include a constrained flight zone for the UAV such as a three-dimensional rectangle (an “ice cube” shape) about the cell tower. This constrained flight zone allows the systems and methods to operate the UAV without extensive regulations such as including extra personnel for “spotting” and requiring private pilot's licenses.

§ 1.0 Exemplary Cell Site

Referring to FIG. 1, in an exemplary embodiment, a diagram illustrates a side view of an exemplary cell site 10. The cell site 10 includes a cell tower 12. The cell tower 12 can be any type of elevated structure, such as 100-200 feet/30-60 meters tall. Generally, the cell tower 12 is an elevated structure for holding cell site components 14. The cell tower 12 may also include a lightning rod 16 and a warning light 18. Of course, there may be various additional components associated with the cell tower 12 and the cell site 10 which are omitted for illustration purposes. In this exemplary embodiment, there are four sets 20, 22, 24, 26 of cell site components 14, such as for four different wireless service providers. In this example, the sets 20, 22, 24 include various antennas 30 for cellular service. The sets 20, 22, 24 are deployed in sectors, e.g. there can be three sectors for the cell site components—alpha, beta, and gamma. The antennas 30 are used to both transmit a radio signal to a mobile device and receive the signal from the mobile device. The antennas 30 are usually deployed as a single, groups of two, three or even four per sector. The higher the frequency of spectrum supported by the antenna 30, the shorter the antenna 30. For example, the antennas 30 may operate around 850 MHz, 1.9 GHz, and the like. The set 26 includes a microwave dish 32 which can be used to provide other types of wireless connectivity, besides cellular service. There may be other embodiments where the cell tower 12 is omitted and replaced with other types of elevated structures such as roofs, water tanks, etc.

§ 2.0 Cell Site Audits Via UAV

Referring to FIG. 2, in an exemplary embodiment, a diagram illustrates a cell site audit 40 performed with an unmanned aerial vehicle (UAV) 50. As described herein, the cell site audit 40 is used by service providers, third party engineering companies, tower operators, etc. to check and ensure proper installation, maintenance, and operation of the cell site components 14 and shelter or cabinet 52 equipment as well as the various interconnections between them. From a physical accessibility perspective, the cell tower 12 includes a climbing mechanism 54 for tower climbers to access the cell site components 14. FIG. 2 includes a perspective view of the cell site 10 with the sets 20, 26 of the cell site components 14. The cell site components 14 for the set 20 include three sectors—alpha sector 54, beta sector 56, and gamma sector 58.

In an exemplary embodiment, the UAV 50 is utilized to perform the cell site audit 40 in lieu of a tower climber access the cell site components 14 via the climbing mechanism 54. In the cell site audit 40, an engineer/technician is local to the cell site 10 to perform various tasks. The systems and methods described herein eliminate a need for the engineer/technician to climb the cell tower 12. Of note, it is still important for the engineer/technician to be local to the cell site 10 as various aspects of the cell site audit 40 cannot be done remotely as described herein. Furthermore, the systems and methods described herein provide an ability for a single engineer/technician to perform the cell site audit 40 without another person handling the UAV 50 or a person with a pilot's license operating the UAV 50 as described herein.

§ 2.1 Cell Site Audit

In general, the cell site audit 40 is performed to gather information and identify a state of the cell site 10. This is used to check the installation, maintenance, and/or operation of the cell site 10. Various aspects of the cell site audit 40 can include, without limitation:

  Verify the cell site 10 is built according to a current revision Verify Equipment Labeling Verify Coax Cable (“Coax”) Bend Radius Verify Coax Color Coding/Tagging Check for Coax External Kinks & Dents Verify Coax Ground Kits Verify Coax Hanger/Support Verify Coax Jumpers Verify Coax Size Check for Connector Stress & Distortion Check for Connector Weatherproofing Verify Correct Duplexers/Diplexers Installed Verify Duplexer/Diplexer Mounting Verify Duplexers/Diplexers Installed Correctly Verify Fiber Paper Verify Lacing & Tie Wraps Check for Loose or Cross-Threaded Coax Connectors Verify Return (“Ret”) Cables Verify Ret Connectors Verify Ret Grounding Verify Ret Installation Verify Ret Lightning Protection Unit (LPI) Check for Shelter/Cabinet Penetrations Verify Surge Arrestor Installation/Grounding Verify Site Cleanliness Verify LTE GPS Antenna Installation

Of note, the cell site audit 40 includes gathering information at and inside the shelter or cabinet 52, on the cell tower 12, and at the cell site components 14. Note, it is not possible to perform all of the above items solely with the UAV 50 or remotely.

§ 3.0 Piloting the UAV at the Cell Site

It is important to note that the Federal Aviation Administration (FAA) is in the process of regulating commercial UAV (drone) operation. It is expected that these regulations would not be complete until 2016 or 2017. In terms of these regulations, commercial operation of the UAV 50, which would include the cell site audit 40, requires at least two people, one acting as a spotter and one with a pilot's license. These regulations, in the context of the cell site audit 40, would make use of the UAV 50 impractical. To that end, the systems and methods described herein propose operation of the UAV 50 under FAA exemptions which allow the cell site audit 40 to occur without requiring two people and without requiring a pilot's license. Here, the UAV 50 is constrained to fly up and down at the cell site 10 and within a three-dimensional (3D) rectangle at the cell site components. These limitations on the flight path of the UAV 50 make the use of the UAV 50 feasible at the cell site 10.

Referring to FIG. 3, in an exemplary embodiment, a screen diagram illustrates a view of a graphical user interface (GUI) 60 on a mobile device 100 while piloting the UAV 50. The GUI 60 provides a real-time view to the engineer/technician piloting the UAV 50. That is, a screen 62 provides a view from a camera on the UAV 50. As shown in FIG. 3, the cell site 10 is shown with the cell site components 14 in the view of the screen 62. Also, the GUI 60 have various controls 64, 66. The controls 64 are used to pilot the UAV 50 and the controls 66 are used to perform functions in the cell site audit 40 and the like.

§ 3.1 FAA Regulations

The FAA is overwhelmed with applications from companies interested in flying drones, but the FAA is intent on keeping the skies safe. Currently, approved exemptions for flying drones include tight rules. Once approved, there is some level of certification for drone operators along with specific rules such as, speed limit of 100 mph, height limitations such as 400 ft, no-fly zones, day only operation, documentation, and restrictions on aerial filming. Accordingly, flight at or around cell towers is constrained and the systems and methods described herein fully comply with the relevant restrictions associated with drone flights from the FAA.

§ 4.0 Exemplary Hardware

Referring to FIG. 4, in an exemplary embodiment, a perspective view illustrates an exemplary UAV 50 for use with the systems and methods described herein. Again, the UAV 50 may be referred to as a drone or the like. The UAV 50 may be a commercially available UAV platform that has been modified to carry specific electronic components as described herein to implement the various systems and methods. The UAV 50 includes rotors 80 attached to a body 82. A lower frame 84 is located on a bottom portion of the body 82, for landing the UAV 50 to rest on a flat surface and absorb impact during landing. The UAV 50 also includes a camera 86 which is used to take still photographs, video, and the like. Specifically, the camera 86 is used to provide the real-time display on the screen 62. The UAV 50 includes various electronic components inside the body 82 and/or the camera 86 such as, without limitation, a processor, a data store, memory, a wireless interface, and the like. Also, the UAV 50 can include additional hardware, such as robotic arms or the like that allow the UAV 50 to attach/detach components for the cell site components 14. Specifically, it is expected that the UAV 50 will get bigger and more advanced, capable of carrying significant loads, and not just a wireless camera. The present disclosure contemplates using the UAV 50 for various aspects at the cell site 10, including participating in construction or deconstruction of the cell tower 12, the cell site components 14, etc.

These various components are now described with reference to a mobile device 100. Those of ordinary skill in the art will recognize the UAV 50 can include similar components to the mobile device 100. Of note, the UAV 50 and the mobile device 100 can be used cooperatively to perform various aspects of the cell site audit 40 described herein. In other embodiments, the UAV 50 can be operated with a controller instead of the mobile device 100. The mobile device 100 may solely be used for real-time video from the camera 86 such as via a wireless connection (e.g., IEEE 802.11 or variants thereof). Some portions of the cell site audit 40 can be performed with the UAV 50, some with the mobile device 100, and others solely by the operator through visual inspection. In some embodiments, all of the aspects can be performed in the UAV 50. In other embodiments, the UAV 50 solely relays data to the mobile device 100 which performs all of the aspects. Other embodiments are also contemplated.

Referring to FIG. 5, in an exemplary embodiment, a block diagram illustrates a mobile device 100, which may be used for the cell site audit 40 or the like. The mobile device 100 can be a digital device that, in terms of hardware architecture, generally includes a processor 102, input/output (I/O) interfaces 104, wireless interfaces 106, a data store 108, and memory 110. It should be appreciated by those of ordinary skill in the art that FIG. 5 depicts the mobile device 100 in an oversimplified manner, and a practical embodiment may include additional components and suitably configured processing logic to support known or conventional operating features that are not described in detail herein. The components (102, 104, 106, 108, and 110) are communicatively coupled via a local interface 112. The local interface 112 can be, for example but not limited to, one or more buses or other wired or wireless connections, as is known in the art. The local interface 112 can have additional elements, which are omitted for simplicity, such as controllers, buffers (caches), drivers, repeaters, and receivers, among many others, to enable communications. Further, the local interface 112 may include address, control, and/or data connections to enable appropriate communications among the aforementioned components.

The processor 102 is a hardware device for executing software instructions. The processor 102 can be any custom made or commercially available processor, a central processing unit (CPU), an auxiliary processor among several processors associated with the mobile device 100, a semiconductor-based microprocessor (in the form of a microchip or chip set), or generally any device for executing software instructions. When the mobile device 100 is in operation, the processor 102 is configured to execute software stored within the memory 110, to communicate data to and from the memory 110, and to generally control operations of the mobile device 100 pursuant to the software instructions. In an exemplary embodiment, the processor 102 may include a mobile optimized processor such as optimized for power consumption and mobile applications. The I/O interfaces 104 can be used to receive user input from and/or for providing system output. User input can be provided via, for example, a keypad, a touch screen, a scroll ball, a scroll bar, buttons, bar code scanner, and the like. System output can be provided via a display device such as a liquid crystal display (LCD), touch screen, and the like. The I/O interfaces 104 can also include, for example, a serial port, a parallel port, a small computer system interface (SCSI), an infrared (IR) interface, a radio frequency (RF) interface, a universal serial bus (USB) interface, and the like. The I/O interfaces 104 can include a graphical user interface (GUI) that enables a user to interact with the mobile device 100. Additionally, the I/O interfaces 104 may further include an imaging device, i.e. camera, video camera, etc.

The wireless interfaces 106 enable wireless communication to an external access device or network. Any number of suitable wireless data communication protocols, techniques, or methodologies can be supported by the wireless interfaces 106, including, without limitation: RF; IrDA (infrared); Bluetooth; ZigBee (and other variants of the IEEE 802.15 protocol); IEEE 802.11 (any variation); IEEE 802.16 (WiMAX or any other variation); Direct Sequence Spread Spectrum; Frequency Hopping Spread Spectrum; Long Term Evolution (LTE); cellular/wireless/cordless telecommunication protocols (e.g. 3G/4G, etc.); wireless home network communication protocols; paging network protocols; magnetic induction; satellite data communication protocols; wireless hospital or health care facility network protocols such as those operating in the WMTS bands; GPRS; proprietary wireless data communication protocols such as variants of Wireless USB; and any other protocols for wireless communication. The wireless interfaces 106 can be used to communicate with the UAV 50 for command and control as well as to relay data therebetween. The data store 108 may be used to store data. The data store 108 may include any of volatile memory elements (e.g., random access memory (RAM, such as DRAM, SRAM, SDRAM, and the like)), nonvolatile memory elements (e.g., ROM, hard drive, tape, CDROM, and the like), and combinations thereof. Moreover, the data store 108 may incorporate electronic, magnetic, optical, and/or other types of storage media.

The memory 110 may include any of volatile memory elements (e.g., random access memory (RAM, such as DRAM, SRAM, SDRAM, etc.)), nonvolatile memory elements (e.g., ROM, hard drive, etc.), and combinations thereof. Moreover, the memory 110 may incorporate electronic, magnetic, optical, and/or other types of storage media. Note that the memory 110 may have a distributed architecture, where various components are situated remotely from one another, but can be accessed by the processor 102. The software in memory 110 can include one or more software programs, each of which includes an ordered listing of executable instructions for implementing logical functions. In the example of FIG. 5, the software in the memory 110 includes a suitable operating system (O/S) 114 and programs 116. The operating system 114 essentially controls the execution of other computer programs, and provides scheduling, input-output control, file and data management, memory management, and communication control and related services. The programs 116 may include various applications, add-ons, etc. configured to provide end user functionality with the mobile device 100, including performing various aspects of the systems and methods described herein.

It will be appreciated that some exemplary embodiments described herein may include one or more generic or specialized processors (“one or more processors”) such as microprocessors, digital signal processors, customized processors, and field programmable gate arrays (FPGAs) and unique stored program instructions (including both software and firmware) that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of the methods and/or systems described herein. Alternatively, some or all functions may be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the aforementioned approaches may be used. Moreover, some exemplary embodiments may be implemented as a non-transitory computer-readable storage medium having computer readable code stored thereon for programming a computer, server, appliance, device, etc. each of which may include a processor to perform methods as described and claimed herein. Examples of such computer-readable storage mediums include, but are not limited to, a hard disk, an optical storage device, a magnetic storage device, a ROM (Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM (Erasable Programmable Read Only Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory), Flash memory, and the like. When stored in the non-transitory computer readable medium, software can include instructions executable by a processor that, in response to such execution, cause a processor or any other circuitry to perform a set of operations, steps, methods, processes, algorithms, etc.

§ 4.1 RF Sensors in the UAV

In an exemplary embodiment, the UAV 50 can also include one or more RF sensors disposed therein. The RF sensors can be any device capable of making wireless measurements related to signals associated with the cell site components 14, i.e., the antennas. In an exemplary embodiment, the UAV 50 can be further configured to fly around a cell zone associated with the cell site 10 to identify wireless coverage through various measurements associated with the RF sensors.

§ 5.0 Cell Site Audit with UAV and/or Mobile Device

Referring to FIG. 6, in an exemplary embodiment, a flow chart illustrates a cell site audit method 200 utilizing the UAV 50 and the mobile device 100. Again, in various exemplary embodiments, the cell site audit 40 can be performed with the UAV 50 and the mobile device 100. In other exemplary embodiments, the cell site audit 40 can be performed with the UAV 50 and an associated controller. In other embodiments, the mobile device 100 is solely used to relay real-time video from the camera 86. While the steps of the cell site audit method 200 are listed sequentially, those of ordinary skill in the art will recognize some or all of the steps may be performed in a different order. The cell site audit method 200 includes an engineer/technician at a cell site with the UAV 50 and the mobile device 100 (step 202). Again, one aspect of the systems and methods described herein is usage of the UAV 50, in a commercial setting, but with constraints such that only one operator is required and such that the operator does not have to hold a pilot's license. As described herein, the constraints can include flight of the UAV 50 at or near the cell site 10 only, a flight pattern up and down in a 3D rectangle at the cell tower 12, a maximum height restriction (e.g., 500 feet or the like), and the like. For example, the cell site audit 40 is performed by one of i) a single operator flying the UAV 50 without a license or ii) two operators including one with a license and one to spot the UAV 50.

The engineer/technician performs one or more aspects of the cell site audit 40 without the UAV 50 (step 204). Note, there are many aspects of the cell site audit 40 as described herein. It is not possible for the UAV 50 to perform all of these items such that the engineer/technician could be remote from the cell site 10. For example, access to the shelter or cabinet 52 for audit purposes requires the engineer/technician to be local. In this step, the engineer/technician can perform any audit functions as described herein that do not require climbing.

The engineer/technician can cause the UAV 50 to fly up the cell tower 12 or the like to view cell site components 14 (step 206). Again, this flight can be based on the constraints, and the flight can be through a controller and/or the mobile device 100. The UAV 50 and/or the mobile device 100 can collect data associated with the cell site components 14 (step 208), and process the collected data to obtain information for the cell site audit 40 (step 210). As described herein, the UAV 50 and the mobile device 100 can be configured to collect data via video and/or photographs. The engineer/technician can use this collected data to perform various aspects of the cell site audit 40 with the UAV 50 and the mobile device 100 and without a tower climb.

The foregoing descriptions detail specific aspects of the cell site audit 40 using the UAV 50 and the mobile device 100. In these aspects, data can be collected—generally, the data is video or photographs of the cell site components 14. The processing of the data can be automated through the UAV 50 and/or the mobile device 100 to compute certain items as described herein. Also, the processing of the data can be performed either at the cell site 10 or afterwards by the engineer/technician.

In an exemplary embodiment, the UAV 50 can be a commercial, “off-the-shelf” drone with a Wi-Fi enabled camera for the camera 86. Here, the UAV 50 is flown with a controller pad which can include a joystick or the like. Alternatively, the UAV 50 can be flown with the mobile device 100, such as with an app installed on the mobile device 100 configured to control the UAV 50. The Wi-Fi enable camera is configured to communicate with the mobile device 100—to both display real-time video and audio as well as to capture photos and/or video during the cell site audit 40 for immediate processing or for later processing to gather relevant information about the cell site components 14 for the cell site audit 40.

In another exemplary embodiment, the UAV 50 can be a so-called “drone in a box” which is preprogrammed/configured to fly a certain route, such as based on the flight constraints described herein. The “drone in a box” can be physically transported to the cell site 10 or actually located there. The “drone in a box” can be remotely controlled as well.

§ 5.1 Antenna Down Tilt Angle

In an exemplary aspect of the cell site audit 40, the UAV 50 and/or the mobile device 100 can be used to determine a down tilt angle of individual antennas 30 of the cell site components 14. The down tilt angle can be determined for all of the antennas 30 in all of the sectors 54, 56, 58. The down tilt angle is the mechanical (external) down tilt of the antennas 30 relative to a support bar 200. In the cell site audit 40, the down tilt angle is compared against an expected value, such as from a Radio Frequency (RF) data sheet, and the comparison may check to ensure the mechanical (external) down tilt is within ±1.0° of specification on the RF data sheet.

Using the UAV 50 and/or the mobile device 100, the down tilt angle is determined from a photo taken from the camera 86. In an exemplary embodiment, the UAV 50 and/or the mobile device 100 is configured to measure three points—two defined by the antenna 30 and one by the support bar 200 to determine the down tilt angle of the antenna 30. For example, the down tilt angle can be determined visually from the side of the antenna 30—measuring a triangle formed by a top of the antenna 30, a bottom of the antenna 30, and the support bar 200.

§ 5.2 Antenna Plumb

In an exemplary aspect of the cell site audit 40 and similar to determining the down tilt angle, the UAV 50 and/or the mobile device 100 can be used to visually inspect the antenna 30 including its mounting brackets and associated hardware. This can be done to verify appropriate hardware installation, to verify the hardware is not loose or missing, and to verify that antenna 30 is plumb relative to the support bar 200.

§ 5.3 Antenna Azimuth

In an exemplary aspect of the cell site audit 40, the UAV 50 and/or the mobile device 100 can be used to verify the antenna azimuth, such as verifying the antenna azimuth is oriented within ±5° as defined on the RF data sheet. The azimuth (AZ) angle is the compass bearing, relative to true (geographic) north, of a point on the horizon directly beneath an observed object. Here, the UAV 50 and/or the mobile device 100 can include a location determining device such as a Global Positioning Satellite (GPS) measurement device. The antenna azimuth can be determined with the UAV 50 and/or the mobile device 100 using an aerial photo or the GPS measurement device.

§ 5.4 Photo Collections

As part of the cell site audit 40 generally, the UAV 50 and/or the mobile device 100 can be used to document various aspects of the cell site 10 by taking photos or video. For example, the mobile device 100 can be used to take photos or video on the ground in or around the shelter or cabinet 52 and the UAV 500 can be used to take photos or video up the cell tower 12 and of the cell site components 14. The photos and video can be stored in any of the UAV 50, the mobile device 100, the cloud, etc.

In an exemplary embodiment, the UAV can also hover at the cell site 10 and provide real-time video footage back to the mobile device 100 or another location (for example, a Network Operations Center (NOC) or the like).

§ 5.5 Compound Length/Width

The UAV 50 can be used to fly over the cell site 10 to measure the overall length and width of the cell site 10 compound from overhead photos. In one aspect, the UAV 50 can use GPS positioning to detect the length and width by flying over the cell site 10. In another aspect, the UAV 50 can take overhead photos which can be processed to determine the associated length and width of the cell site 10.

§ 5.6 Data Capture—Cell Site Audit

The UAV 50 can be used to capture various pieces of data via the camera 86. That is, with the UAV 50 and the mobile device 100, the camera 86 is equivalent to the engineer/technician's own eyes, thereby eliminating the need for the engineer/technician to physically climb the tower. One important aspect of the cell site audit 40 is physically collecting various pieces of information—either to check records for consistency or to establish a record. For example, the data capture can include determining equipment module types, locations, connectivity, serial numbers, etc. from photos. The data capture can include determining physical dimensions from photos or from GPS such as the cell tower 12 height, width, depth, etc. The data capture can also include visual inspection of any aspect of the cell site 10, cell tower 12, cell site components 14, etc. including, but not limited to, physical characteristics, mechanical connectivity, cable connectivity, and the like.

The data capture can also include checking the lightning rod 16 and the warning light 18 on the cell tower 12. Also, with additional equipment on the UAV 50, the UAV 50 can be configured to perform maintenance such as replacing the warning light 18, etc. The data capture can also include checking maintenance status of the cell site components 14 visually as well as checking associated connection status. Another aspect of the cell site audit 40 can include checking structural integrity of the cell tower 12 and the cell site components 14 via photos from the UAV 50.

§ 5.7 Flying the UAV at the Cell Site

In an exemplary embodiment, the UAV 50 can be programmed to automatically fly to a location and remain there without requiring the operator to control the UAV 50 in real-time, at the cell site 10. In this scenario, the UAV 50 can be stationary at a location in the air at the cell site 10. Here, various functionality can be incorporated in the UAV 50 as described herein. Note, this aspect leverages the ability to fly the UAV 50 commercially based on the constraints described herein. That is, the UAV 50 can be used to fly around the cell tower 12, to gather data associated with the cell site components 14 for the various sectors 54, 56, 58. Also, the UAV 50 can be used to hover around the cell tower 12, to provide additional functionality described as follows.

§ 5.8 Video/Photo Capture—Cell Site

With the UAV 50 available to operate at the cell site 10, the UAV 50 can also be used to capture video/photos while hovering. This application uses the UAV 50 as a mobile video camera to capture activity at or around the cell site 10 from the air. It can be used to document work at the cell site 10 or to investigate the cell site 10 responsive to problems, e.g. tower collapse. It can be used to take surveillance video of surrounding locations such as service roads leading to the cell site 10, etc.

§ 5.9 Wireless Service Via the UAV

Again, with the ability to fly at the cell site 10, subject to the constraints, the UAV 50 can be used to provide temporary or even permanent wireless service at the cell site. This is performed with the addition of wireless service-related components to the UAV 50. In the temporary mode, the UAV 50 can be used to provide service over a short time period, such as responding to an outage or other disaster affecting the cell site 10. Here, an operator can cause the UAV 50 to fly where the cell site components 14 are and provide such service. The UAV 50 can be equipped with wireless antennas to provide cell service, Wireless Local Area Network (WLAN) service, or the like. The UAV 50 can effectively operate as a temporary tower or small cell as needed.

In the permanent mode, the UAV 50 (along with other UAVs 50) can constantly be in the air at the cell site 10 providing wireless service. This can be done similar to the temporary mode, but over a longer time period. The UAV 50 can be replaced over a predetermined time to refuel or the like. The replacement can be another UAV 50. The UAV 50 can effectively operate as a permanent tower or small cell as needed.

§ 6.0 Flying the UAV from Cell Site to Another Cell Site

As described herein, the flight constraints include operating the UAV 50 vertically in a defined 3D rectangle at the cell site 10. In another exemplary embodiment, the flight constraints can be expanded to allow the 3D rectangle at the cell site 10 as well as horizontal operation between adjacent cell sites 10. Referring to FIG. 7, in an exemplary embodiment, a network diagram illustrates various cell sites 10 a-10 e deployed in a geographic region 300. In an exemplary embodiment, the UAV 50 is configured to operate as described herein, such as in FIG. 2, in the vertical 3D rectangular flight pattern, as well as in a horizontal flight pattern between adjacent cell sites 10. Here, the UAV 50 is cleared to fly, without the commercial regulations, between the adjacent cell sites 10.

In this manner, the UAV 50 can be used to perform the cell site audits 40 at multiple locations—note, the UAV 50 does not need to land and physically be transported to the adjacent cell sites 10. Additionally, the fact that the FAA will allow exemptions to fly the UAV 50 at the cell site 10 and between adjacent cell sites 10 can create an interconnected mesh network of allowable flight paths for the UAV 50. Here, the UAV 50 can be used for other purposes besides those related to the cell site 10. That is, the UAV 50 can be flown in any application, independent of the cell sites 10, but without requiring FAA regulation. The applications can include, without limitation, a drone delivery network, a drone surveillance network, and the like.

As shown in FIG. 7, the UAV 50, at the cell site 10 a, can be flown to any of the other cell sites 10 b-10 e along flight paths 302. Due to the fact that cell sites 10 are numerous and diversely deployed in the geographic region 300, an ability to fly the UAV 50 at the cell sites 10 and between adjacent cell sites 10 creates an opportunity to fly the UAV 50 across the geographic region 300, for numerous applications.

§ 7.0 UAV and Cell Towers

Additionally, the systems and methods describe herein contemplate practically any activity at the cell site 10 using the UAV 50 in lieu of a tower climb. This can include, without limitation, any tower audit work with the UAV 50, any tower warranty work with the UAV 50, any tower operational ready work with the UAV 50, any tower construction with the UAV 50, any tower decommissioning/deconstruction with the UAV 50, any tower modifications with the UAV 50, and the like.

§ 8.0 Cell Site Operations

There are generally two entities associated with cell sites—cell site owners and cell site operators. Generally, cell site owners can be viewed as real estate property owners and managers. Typical cell site owners may have a vast number of cell sites, such as tens of thousands, geographically dispersed. The cell site owners are generally responsible for the real estate, ingress and egress, structures on site, the cell tower itself, etc. Cell site operators generally include wireless service providers who generally lease space on the cell tower and in the structures for antennas and associated wireless backhaul equipment. There are other entities that may be associated with cell sites as well including engineering firms, installation contractors, and the like. All of these entities have a need for the various UAV-based systems and methods described herein. Specifically, cell site owners can use the systems and methods for real estate management functions, audit functions, etc. Cell site operators can use the systems and methods for equipment audits, troubleshooting, site engineering, etc. Of course, the systems and methods described herein can be provided by an engineering firm or the like contracted to any of the above entities or the like. The systems and methods described herein provide these entities time savings, increased safety, better accuracy, lower cost, and the like.

§ 10.0 3D Modeling Systems and Methods with UAVs

Referring to FIG. 8, in an exemplary embodiment, a diagram illustrates the cell site 10 and an associated launch configuration and flight for the UAV 50 to obtain photos for a 3D model of the cell site 10. Again, the cell site 10, the cell tower 12, the cell site components 14, etc. are as described herein. To develop a 3D model, the UAV 50 is configured to take various photos during flight, at different angles, orientations, heights, etc. to develop a 360 degree view. For post processing, it is important to accurately differentiate between different photos. In various exemplary embodiments, the systems and methods utilize accurate location tracking for each photo taken. It is important for accurate correlation between photos to enable construction of a 3D model from a plurality of 2D photos. The photos can all include multiple location identifiers (i.e., where the photo was taken from, height and exact location). In an exemplary embodiment, the photos can each include at least two distinct location identifiers, such as from GPS or GLONASS. GLONASS is a “GLObal NAvigation Satellite System” which is a space-based satellite navigation system operating in the radionavigation-satellite service and used by the Russian Aerospace Defence Forces. It provides an alternative to GPS and is the second alternative navigational system in operation with global coverage and of comparable precision. The location identifiers are tagged or embedded to each photo and indicative of the location of the UAV 50 where and when the photo was taken. These location identifiers are used with objects of interest identified in the photo during post processing to create the 3D model.

In fact, it was determined that location identifier accuracy is very important in the post processing for creating the 3D model. One such determination was that there are slight inaccuracies in the location identifiers when the UAV 50 is launched from a different location and/or orientation. Thus, to provide further accuracy for the location identifiers, each flight of the UAV 50 is constrained to land and depart from a same location and orientation. For example, future flights of the same cell site 10 or additional flights at the same time when the UAV 50 lands and, e.g., has a battery change. To ensure the same location and/or orientation in subsequent flights at the cell site 10, a zone indicator 800 is set at the cell site 10, such as on the ground via some marking (e.g., chalk, rope, white powder, etc.). Each flight at the cell site 10 for purposes of obtaining photos for 3D modeling is done using the zone indicator 800 to land and launch the UAV 50. Based on operations, it was determined that using conventional UAVs 50, the zone indicator 800 provides significant more accuracy in location identifier readings. Accordingly, the photos are accurately identified relative to one another and able to create an extremely accurate 3D model of all physical features of the cell site 10. Thus, in an exemplary embodiment, all UAV 50 flights are from a same launch point and orientation to avoid calibration issues with any location identifier technique. The zone indicator 800 can also be marked on the 3D model for future flights at the cell site 10. Thus, the use of the zone indicator 800 for the same launch location and orientation along with the multiple location indicators provide more precision in the coordinates for the UAV 50 to correlate the photos.

Note, in other exemplary embodiments, the zone indicator 800 may be omitted or the UAV 50 can launch from additional points, such that the data used for the 3D model is only based on a single flight. The zone indicator 800 is advantageous when data is collected over time or when there are landings in a flight.

Once the zone indicator 800 is established, the UAV 50 is placed therein in a specific orientation (orientation is arbitrary so long as the same orientation is continually maintained). The orientation refers to which way the UAV 50 is facing at launch and landing. Once the UAV 50 is in the zone indicator 800, the UAV 50 can be flown up (denoted by line 802) the cell tower 12. Note, the UAV 50 can use the aforementioned flight constraints to conform to FAA regulations or exemptions. Once at a certain height and certain distance from the cell tower 12 and the cell site components 14, the UAV 50 can take a circular or 360 degree flight pattern about the cell tower 12, including flying up as well as around the cell tower 12 (denoted by line 804).

During the flight, the UAV 50 is configured to take various photos of different aspects of the cell site 10 including the cell tower 12, the cell site components 14, as well as surrounding area. These photos are each tagged or embedded with multiple location identifiers. It has also been determined that the UAV 50 should be flown at a certain distance based on its camera capabilities to obtain the optimal photos, i.e., not too close or too far from objects of interest. The UAV 50 in a given flight can take hundreds or even thousands of photos, each with the appropriate location identifiers. For an accurate 3D model, at least hundreds of photos are required. The UAV 50 can be configured to automatically take pictures are given intervals during the flight and the flight can be a preprogrammed trajectory around the cell site 10. Alternatively, the photos can be manually taken based on operator commands. Of course, a combination is also contemplated. In another exemplary embodiment, the UAV 50 can include preprocessing capabilities which monitor photos taken to determine a threshold after which enough photos have been taken to accurately construct the 3D model.

Referring to FIG. 9, in an exemplary embodiment, a satellite view illustrates an exemplary flight of the UAV 50 at the cell site 10. Note, photos are taken at locations marked with circles in the satellite view. Note, the flight of the UAV 50 can be solely to construct the 3D model or as part of the cell site audit 40 described herein. Also note, the exemplary flight allows photos at different locations, angles, orientations, etc. such that the 3D model not only includes the cell tower 12, but also the surrounding geography.

Referring to FIG. 10, in an exemplary embodiment, a side view illustrates an exemplary flight of the UAV 50 at the cell site 10. Similar to FIG. 9, FIG. 10 shows circles in the side view at locations where photos were taken. Note, photos are taken at different elevations, orientations, angles, and locations.

The photos are stored locally in the UAV 50 and/or transmitted wirelessly to a mobile device, controller, server, etc. Once the flight is complete and the photos are provided to an external device from the UAV 50 (e.g., mobile device, controller, server, cloud service, or the like), post processing occurs to combine the photos or “stitch” them together to construct the 3D model. While described separately, the post processing could occur in the UAV 50 provided its computing power is capable.

Referring to FIG. 11, in an exemplary embodiment, a logical diagram illustrates a portion of a cell tower 12 along with associated photos taken by the UAV 50 at different points relative thereto. Specifically, various 2D photos are logically shown at different locations relative to the cell tower 12 to illustrate the location identifiers and the stitching together of the photos.

Referring to FIG. 12, in an exemplary embodiment, a screen shot illustrates a Graphic User Interface (GUI) associated with post processing photos from the UAV 50. Again, once the UAV 50 has completed taking photos of the cell site 10, the photos are post processed to form a 3D model. The systems and methods contemplate any software program capable of performing photogrammetry. In the example of FIG. 12, there are 128 total photos. The post processing includes identifying visible points across the multiple points, i.e., objects of interest. For example, the objects of interest can be any of the cell site components 14, such as antennas. The post processing identifies the same object of interest across different photos, with their corresponding location identifiers, and builds a 3D model based on multiple 2D photos.

Referring to FIG. 13, in an exemplary embodiment, a screen shot illustrates a 3D model constructed from a plurality of 2D photos taken from the UAV 50 as described herein. Note, the 3D model can be displayed on a computer or another type of processing device, such as via an application, a Web browser, or the like. The 3D model supports zoom, pan, tilt, etc.

Referring to FIGS. 14-19, in various exemplary embodiments, various screen shots illustrate GUIs associated with a 3D model of a cell site based on photos taken from the UAV 50 as described herein. FIG. 14 is a GUI illustrating an exemplary measurement of an object, i.e., the cell tower 12, in the 3D model. Specifically, using a point and click operation, one can click on two points such as the top and bottom of the cell tower and the 3D model can provide a measurement, e.g. 175′ in this example. FIG. 15 illustrates a close up view of a cell site component 14 such as an antenna and a similar measurement made thereon using point and click, e.g. 4.55′ in this example. FIGS. 16 and 17 illustrate an aerial view in the 3D model showing surrounding geography around the cell site 10. From these views, the cell tower 12 is illustrated with the surrounding environment including the structures, access road, fall line, etc. Specifically, the 3D model can assist in determining a fall line which is anywhere in the surroundings of the cell site 10 where the cell tower 12 may fall. Appropriate considerations can be made based thereon.

FIGS. 18 and 19 illustrate the 3D model and associated photos on the right side. One useful aspect of the 3D model GUI is an ability to click anywhere on the 3D model and bring up corresponding 2D photos. Here, an operator can click anywhere and bring up full sized photos of the area. Thus, with the systems and methods described herein, the 3D model can measure and map the cell site 10 and surrounding geography along with the cell tower 12, the cell site components 14, etc. to form a comprehensive 3D model. There are various uses of the 3D model to perform cell site audits including checking tower grounding; sizing and placement of antennas, piping, and other cell site components 14; providing engineering drawings; determining characteristics such as antenna azimuths; and the like.

Referring to FIG. 2021, in an exemplary embodiment, a photo illustrates the UAV 50 in flight at the top of a cell tower 12. As described herein, it was determined that the optimum distance to photograph the cell site components 14 is about 10′ to 40′ distance.

Referring to FIG. 21, in an exemplary embodiment, a flowchart illustrates a process 850 for modeling a cell site with an Unmanned Aerial Vehicle (UAV). The process 850 includes causing the UAV to fly a given flight path about a cell tower at the cell site, wherein a launch location and launch orientation is defined for the UAV to take off and land at the cell site such that each flight at the cell site has the same launch location and launch orientation (step 852); obtaining a plurality of photographs of the cell site during about the flight plane, wherein each of the plurality of photographs is associated with one or more location identifiers (step 854); and, subsequent to the obtaining, processing the plurality of photographs to define a three dimensional (3D) model of the cell site based on the associated with one or more location identifiers and one or more objects of interest in the plurality of photographs (step 856).

The process 850 can further include landing the UAV at the launch location in the launch orientation; performing one or more operations on the UAV, such as changing a battery; and relaunching the UAV from the launch location in the launch orientation to obtain additional photographs. The one or more location identifiers can include at least two location identifiers including Global Positioning Satellite (GPS) and GLObal NAvigation Satellite System (GLONASS). The flight plane can be constrained to an optimum distance from the cell tower. The plurality of photographs can be obtained automatically during the flight plan while concurrently performing a cell site audit of the cell site. The process 850 can further include providing a graphical user interface (GUI) of the 3D model; and using the GUI to perform a cell site audit. The process 850 can further include providing a graphical user interface (GUI) of the 3D model; and using the GUI to measure various components at the cell site. The process 850 can further include providing a graphical user interface (GUI) of the 3D model; and using the GUI to obtain photographs of the various components at the cell site.

§ 11.1 3D Modeling Systems and Methods without UAVs

The above description explains 3D modeling and photo data capture using the UAV 50. Additionally, the photo data capture can be through other means, including portable cameras, fixed cameras, heads up displays (HUD), head mounted cameras, and the like. That is, the systems and methods described herein contemplate the data capture through any available technique. The UAV 50 will be difficult to obtain photos inside the buildings, i.e., the shelter or cabinet 52. Referring to FIG. 22, in an exemplary embodiment, a diagram illustrates an exemplary interior 900 of a building 902, such as the shelter or cabinet 52, at the cell site 10. Generally, the building 902 houses equipment associated with the cell site 10 such as wireless RF terminals 910 (e.g., LTE terminals), wireless backhaul equipment 912, power distribution 914, and the like. Generally, wireless RF terminals 910 connect to the cell site components 14 for providing associated wireless service. The wireless backhaul equipment 912 includes networking equipment to bring the associated wireless service signals to a wireline network, such as via fiber optics or the like. The power distribution 914 provides power for all of the equipment such as from the grid as well as battery backup to enable operation in the event of power failures. Of course, additional equipment and functionality is contemplated in the interior 900.

The terminals 910, equipment 912, and the power distribution 914 can be realized as rack or frame mounted hardware with cabling 916 and with associated modules 918. The modules 918 can be pluggable modules which are selectively inserted in the hardware and each can include unique identifiers 920 such as barcodes, Quick Response (QR) codes, RF Identification (RFID), physical labeling, color coding, or the like. Each module 918 can be unique with a serial number, part number, and/or functional identifier. The modules 918 are configured as needed to provide the associated functionality of the cell site.

The systems and methods include, in addition to the aforementioned photo capture via the UAV 50, photo data capture in the interior 900 for 3D modeling and for virtual site surveys. The photo data capture can be performed by a fixed, rotatable camera 930 located in the interior 900. The camera 930 can be communicatively coupled to a Data Communication Network (DCN), such as through the wireless backhaul equipment 912 or the like. The camera 930 can be remotely controlled, such as by an engineer performing a site survey from his or her office. Other techniques of photo data capture can include an on-site technician taking photos with a camera and uploading them to a cloud service or the like. Again, the systems and methods contemplate any type of data capture.

Again, with a plurality of photos, e.g., hundreds, it is possible to utilize photogrammetry to create a 3D model of the interior 900 (as well as a 3D model of the exterior as described above). The 3D model is created using physical cues in the photos to identify objects of interest, such as the modules 918, the unique identifiers 920, or the like. Note, the location identifiers described relative to the UAV 50 are less effective in the interior 900 given the enclosed, interior space and the closer distances.

§ 12.0 Virtual Site Survey

Referring to FIG. 23, in an exemplary embodiment, a flowchart illustrates a virtual site survey process 950 for the cell site 10. The virtual site survey process 950 is associated with the cell site 10 and utilizes three-dimensional (3D) models for remote performance, i.e., at an office as opposed to in the field. The virtual site survey process 950 includes obtaining a plurality of photographs of a cell site including a cell tower and one or more buildings and interiors thereof (step 952); subsequent to the obtaining, processing the plurality of photographs to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the plurality of photographs (step 954); and remotely performing a site survey of the cell site utilizing a Graphical User Interface (GUI) of the 3D model to collect and obtain information about the cell site, the cell tower, the one or more buildings, and the interiors thereof (step 956). The 3D model is a combination of an exterior of the cell site including the cell tower and associated cell site components thereon, geography local to the cell site, and the interiors of the one or more buildings at the cell site, and the 3D model can include detail at a module level in the interiors.

The remotely performing the site survey can include determining equipment location on the cell tower and in the interiors; measuring distances between the equipment and within the equipment to determine actual spatial location; and determining connectivity between the equipment based on associated cabling. The remotely performing the site survey can include planning for one or more of new equipment and changes to existing equipment at the cell site through drag and drop operations in the GUI, wherein the GUI includes a library of equipment for the drag and drop operations; and, subsequent to the planning, providing a list of the one or more of the new equipment and the changes to the existing equipment based on the library, for implementation thereof. The remotely performing the site survey can include providing one or more of the photographs of an associated area of the 3D model responsive to an operation in the GUI. The virtual site survey process 950 can include rendering a texture map of the interiors responsive to an operation in the GUI.

The virtual site survey process 950 can include performing an inventory of equipment at the cell site including cell site components on the cell tower and networking equipment in the interiors, wherein the inventory from the 3D model uniquely identifies each of the equipment based on associated unique identifiers. The remotely performing the site survey can include providing an equipment visual in the GUI of a rack and all associated modules therein. The obtaining can include the UAV 50 obtaining the photographs on the cell tower and the obtaining includes one or more of a fixed and portable camera obtaining the photographs in the interior. The obtaining can be performed by an on-site technician at the cell site and the site survey can be remotely performed.

In another exemplary embodiment, an apparatus adapted to perform a virtual site survey of a cell site utilizing three-dimensional (3D) models for remote performance includes a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to receive, via the network interface, a plurality of photographs of a cell site including a cell tower and one or more buildings and interiors thereof process the plurality of photographs to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the plurality of photographs, subsequent to receiving the photographs; and provide a Graphical User Interface of the 3D model for remote performance of a site survey of the cell site utilizing the 3D model to collect and obtain information about the cell site, the cell tower, the one or more buildings, and the interiors thereof.

In a further exemplary embodiment, a non-transitory computer readable medium includes instructions that, when executed, cause one or more processors to perform the steps of: receiving a plurality of photographs of a cell site including a cell tower and one or more buildings and interiors thereof processing the plurality of photographs to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the plurality of photographs, subsequent to receiving the photographs; and rendering a Graphical User Interface of the 3D model for remote performance of a site survey of the cell site utilizing the 3D model to collect and obtain information about the cell site, the cell tower, the one or more buildings, and the interiors thereof.

The virtual site survey can perform anything remotely that traditionally would have required on-site presence, including the various aspects of the cell site audit 40 described herein. The GUI of the 3D model can be used to check plumbing of coaxial cabling, connectivity of all cabling, automatic identification of cabling endpoints such as through unique identifiers detected on the cabling, and the like. The GUI can further be used to check power plant and batteries, power panels, physical hardware, grounding, heating and air conditioning, generators, safety equipment, and the like.

The 3D model can be utilized to automatically provide engineering drawings, such as responsive to the planning for new equipment or changes to existing equipment. Here, the GUI can have a library of equipment (e.g., approved equipment and vendor information can be periodically imported into the GUI). Normal drag and drop operations in the GUI can be used for equipment placement from the library. Also, the GUI system can include error checking, e.g., a particular piece of equipment is incompatible with placement or in violation of policies, and the like.

§ 13.0 Close-Out Audit Systems and Methods

Again, a close-out audit is done to document and verify the work performed at the cell site 10. The systems and methods eliminate the separate third-party inspection firm for the close-out audit. The systems and methods include the installers (i.e., from the third-party installation firm, the owner, the operator, etc.) performing video capture subsequent to the installation and maintenance and using various techniques to obtain data from the video capture for the close-out audit. The close-out audit can be performed off-site with the data from the video capture thereby eliminating unnecessary tower climbs, site visits, and the like.

Referring to FIG. 24, in an exemplary embodiment, a flowchart illustrates a close-out audit method 1350 performed at a cell site subsequent to maintenance or installation work. The close-out audit method 1350 includes, subsequent to the maintenance or installation work, obtaining video capture of cell site components associated with the work (step 1352); subsequent to the video capture, processing the video capture to obtain data for the close-out audit, wherein the processing comprises identifying the cell site components associated with the work (step 1354); and creating a close-out audit package based on the processed video capture, wherein the close-out audit package provides verification of the maintenance or installation work and outlines that the maintenance or installation work was performed in a manner consistent with an operator or owner's guidelines (step 1356).

The video capture can be performed by a mobile device and one or more of locally stored thereon and transmitted from the mobile device. The video capture can also be performed by a mobile device which wirelessly transmits a live video feed and the video capture is remotely stored from the cell site. The video capture can also performed by an Unmanned Aerial Vehicle (UAV) flown at the cell site. Further, the video capture can be a live video feed with two-way communication between an installer associated with the maintenance or installation work and personnel associated with the operator or owner to verify the maintenance or installation work. For example, the installer and the personnel can communicate to go through various items in the maintenance or installation work to check/audit the work.

The close-out audit method 1350 can also include creating a three-dimensional (3D) model from the video capture; determining equipment location from the 3D model; measuring distances between the equipment and within the equipment to determine actual spatial location; and determining connectivity between the equipment based on associated cabling from the 3D model. The close-out audit method 1350 can also include uniquely identifying the cell site components from the video capture and distinguishing in the close-out audit package. The close-out audit method 1350 can also include determining antenna height, azimuth, and down tilt angles for antennas in the cell site components from the video capture; and checking the antenna height, azimuth, and down tilt angles against predetermined specifications.

The close-out audit method 1350 can also include identifying cabling and connectivity between the cell site components from the video capture and distinguishing in the close-out audit package. The close-out audit method 1350 can also include checking a plurality of factors in the close-out audit from the video capture compared to the operator or owner's guidelines. The close-out audit method 1350 can also include checking grounding of the cell site components from the video capture, comparing the checked grounding to the operator or owner's guidelines and distinguishing in the close-out audit package. The close-out audit method 1350 can also include checking mechanical connectivity of the cell site components to a cell tower based on the video capture and distinguishing in the close-out audit package.

In another exemplary embodiment, a system adapted for a close-out audit of a cell site subsequent to maintenance or installation work includes a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to, subsequent to the maintenance or installation work, obtain video capture of cell site components associated with the work; subsequent to the video capture, process the video capture to obtain data for the close-out audit, wherein the processing comprises identifying the cell site components associated with the work; and create a close-out audit package based on the processed video capture, wherein the close-out audit package provides verification of the maintenance or installation work and outlines that the maintenance or installation work was performed in a manner consistent with an operator or owner's guidelines.

In a further exemplary embodiment, a non-transitory computer readable medium includes instructions that, when executed, cause one or more processors to perform the steps of, subsequent to the maintenance or installation work, obtaining video capture of cell site components associated with the work; subsequent to the video capture, processing the video capture to obtain data for the close-out audit, wherein the processing comprises identifying the cell site components associated with the work; and creating a close-out audit package based on the processed video capture, wherein the close-out audit package provides verification of the maintenance or installation work and outlines that the maintenance or installation work was performed in a manner consistent with an operator or owner's guidelines.

The close-out audit package can include, without limitation, drawings, cell site component settings, test results, equipment lists, pictures, commissioning data, GPS data, Antenna height, azimuth and down tilt data, equipment data, serial numbers, cabling, etc.

§ 14.0 3D Modeling Systems and Methods

Referring to FIG. 25, in an exemplary embodiment, a flowchart illustrates a 3D modeling method 1400 to detect configuration and site changes. The 3D modeling method 1400 utilizes various techniques to obtain data, to create 3D models, and to detect changes in configurations and surroundings. The 3D models can be created at two or more different points in time, and with the different 3D models, a comparison can be made to detect the changes. Advantageously, the 3D modeling systems and methods allow cell site operators to efficiently manage the cell sites without repeated physical site surveys.

The modeling method 1400 includes obtaining first data regarding the cell site from a first audit performed using one or more data acquisition techniques and obtaining second data regarding the cell site from a second audit performed using the one or more data acquisition techniques, wherein the second audit is performed at a different time than the first audit, and wherein the first data and the second data each comprise one or more location identifiers associated therewith (step 1402); processing the first data to define a first model of the cell site using the associated one or more location identifiers and processing the second data to define a second model of the cell site using the associated one or more location identifiers (step 1404); comparing the first model with the second model to identify the changes in or at the cell site (step 1406); and performing one or more actions based on the identified changes (step 1408).

The one or more actions can include any remedial or corrective actions including maintenance, landscaping, mechanical repair, licensing from operators who install more cell site components 14 than agreed upon, and the like. The identified changes can be associated with cell site components installed on a cell tower at the cell site, and wherein the one or more actions comprises any of maintenance, licensing with operators, and removal. The identified changes can be associated with physical surroundings of the cell site, and wherein the one or more actions comprise maintenance to correct the identified changes. The identified changes can include any of degradation of gravel roads, trees obstructing a cell tower, physical hazards at the cell site, and mechanical issues with the cell tower or a shelter at the cell site.

The first data and the second data can be obtained remotely, without a tower climb. The first model and the second model each can include a three-dimensional model of the cell site, displayed in a Graphical User Interface (GUI). The one or more data acquisition techniques can include using an Unmanned Aerial Vehicle (UAV) to capture the first data and the second data. The one or more data acquisition techniques can include using a fixed or portable camera to capture the first data and the second data. The one or more location identifiers can include at least two location identifiers comprising Global Positioning Satellite (GPS) and GLObal NAvigation Satellite System (GLONASS). The second model can be created using the first model as a template for expect objects at the cell site.

In another exemplary embodiment, a modeling system adapted for detecting changes in or at a cell site includes a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to obtain first data regarding the cell site from a first audit performed using one or more data acquisition techniques and obtain second data regarding the cell site from a second audit performed using the one or more data acquisition techniques, wherein the second audit is performed at a different time than the first audit, and wherein the first data and the second data each comprise one or more location identifiers associated therewith; process the first data to define a first model of the cell site using the associated one or more location identifiers and process the second data to define a second model of the cell site using the associated one or more location identifiers; compare the first model with the second model to identify the changes in or at the cell site; and cause performance of one or more actions based on the identified changes.

In a further exemplary embodiment, a non-transitory computer readable medium includes instructions that, when executed, cause one or more processors to perform the steps of: obtaining first data regarding the cell site from a first audit performed using one or more data acquisition techniques and obtaining second data regarding the cell site from a second audit performed using the one or more data acquisition techniques, wherein the second audit is performed at a different time than the first audit, and wherein the first data and the second data each comprise one or more location identifiers associated therewith; processing the first data to define a first model of the cell site using the associated one or more location identifiers and processing the second data to define a second model of the cell site using the associated one or more location identifiers; comparing the first model with the second model to identify the changes in or at the cell site; and performing one or more actions based on the identified changes.

§ 15.0 3D Modeling Data Capture Systems and Methods

Again, various exemplary embodiments herein describe applications and uses of 3D models of the cell site 10 and the cell tower 12. Further, it has been described using the UAV 50 to obtain data capture for creating the 3D model. The data capture systems and methods described herein provide various techniques and criteria for properly capturing images or video using the UAV 50. Referring to FIG. 26, in an exemplary embodiment, a flow diagram illustrates a 3D model creation process 1700. The 3D model creation process 1700 is implemented on a server or the like. The 3D model creation process 1700 includes receiving input data, i.e., pictures and/or video. The data capture systems and methods describe various techniques for obtaining the pictures and/or video using the UAV 50 at the cell site 10. In an exemplary embodiment, the pictures can be at least 10 megapixels and the video can be at least 4 k high definition video.

The 3D model creation process 1700 performs initial processing on the input data (step 1702). An output of the initial processing includes a sparse point cloud, a quality report, and an output file can be camera outputs. The sparse point cloud is processed into a point cloud and mesh (step 1704) providing a densified point cloud and 3D outputs. The 3D model is an output of the step 1704. Other models can be developed by further processing the densified point cloud (step 1706) to provide a Digital Surface Model (DSM), an orthomosaic, tiles, contour lines, etc.

The data capture systems and methods include capturing thousands of images or video which can be used to provide images. Referring to FIG. 27, in an exemplary embodiment, a flowchart illustrates a method 1750 using an Unmanned Aerial Vehicle (UAV) to obtain data capture at a cell site for developing a three dimensional (3D) thereof. The method 1750 includes causing the UAV to fly a given flight path about a cell tower at the cell site (step 1752); obtaining data capture during the flight path about the cell tower, wherein the data capture comprises a plurality of photos or video, wherein the flight path is subjected to a plurality of constraints for the obtaining, and wherein the data capture comprises one or more location identifiers (step 1754); and, subsequent to the obtaining, processing the data capture to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the data capture (step 1756).

The method 1750 can further include remotely performing a site survey of the cell site utilizing a Graphical User Interface (GUI) of the 3D model to collect and obtain information about the cell site, the cell tower, one or more buildings, and interiors thereof (step 1758). A launch location and launch orientation can be defined for the UAV to take off and land at the cell site such that each flight at the cell site has the same launch location and launch orientation. The one or more location identifiers can include at least two location identifiers including Global Positioning Satellite (GPS) and GLObal NAvigation Satellite System (GLONASS).

The plurality of constraints can include each flight of the UAV having a similar lighting condition and at about a same time of day. Specifically, the data capture can be performed on different days or times to update the 3D model. Importantly, the method 1750 can require the data capture in the same lighting conditions, e.g., sunny, cloudy, etc., and at about the same time of day to account for shadows.

The data capture can include a plurality of photographs each with at least 10 megapixels and wherein the plurality of constraints can include each photograph having at least 75% overlap with another photograph. Specifically, the significant overlap allows for ease in processing to create the 3D model. The data capture can include a video with at least 4 k high definition and wherein the plurality of constraints can include capturing a screen from the video as a photograph having at least 75% overlap with another photograph captured from the video.

The plurality of constraints can include a plurality of flight paths around the cell tower with each of the plurality of flight paths at one or more of different elevations, different camera angles, and different focal lengths for a camera. The plurality of flight paths can be one of: a first flight path at a first height and a camera angle and a second flight path at a second height and the camera angle; and a first flight path at the first height and a first camera angle and a second flight path at the first height and a second camera angle. The plurality of flight paths can be substantially circular around the cell tower.

In another exemplary embodiment, an apparatus adapted to obtain data capture at a cell site for developing a three dimensional (3D) thereof includes a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to cause the UAV to fly a given flight path about a cell tower at the cell site; cause data capture during the flight path about the cell tower, wherein the data capture comprises a plurality of photos or video, wherein the flight path is subjected to a plurality of constraints for the data capture, and wherein the data capture comprises one or more location identifiers; and, subsequent to the data capture, process the data capture to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the data capture.

§ 15.1 3D Methodology for Cell Sites

Referring to FIG. 28, in an exemplary embodiment, a flowchart illustrates a 3D modeling method 1800 for capturing data at the cell site 10, the cell tower 12, etc. using the UAV 50. The method 1800, in addition to or in combination with the method 1750, provides various techniques for accurately capturing data for building a point cloud generated 3D model of the cell site 10. First, the data acquisition, i.e., the performance of the method 1800, should be performed in the early morning or afternoon such that nothing is overexposed and there is minimum reflection off of the cell tower 12. It is also important to have a low Kp Index level to minimize the disruption of geomagnetic activity on the UAV's GPS unit, sub level six is adequate for 3D modeling as described in this claim. Of course, it is also important to ensure the camera lenses on the UAV 50 are clean prior to launch. This can be done by cleaning the lenses with alcohol and a wipe. Thus, the method 1800 includes preparing the UAV 50 for flight and programming an autonomous flight path about the cell tower 12 (step 1802).

The UAV 50 flight about the cell tower 12 at the cell site 10 can be autonomous, i.e., automatic without manual control of the actual flight plan in real-time. The advantage here with autonomous flight is the flight of the UAV 50 is circular as opposed to a manual flight which can be more elliptical, oblong, or have gaps in data collection, etc. In an exemplary embodiment, the autonomous flight of the UAV 50 can capture data equidistance around the planned circular flight path by using a Point of Interest (POI) flight mode. The POI flight mode is selected (either before or after takeoff) and once the UAV 50 is in flight, an operator can select a point of interest from a view of the UAV 50, such as but not limited to via the mobile device 100 which is in communication with the UAV 50. The view is provided by the camera 86 and the UAV 50 in conjunction with the device identified to be in communication with the UAV 50 can determine a flight plan about the point of interest. In the method 1800, the point of interest can be the cell tower 12. The point of interest can be selected at an appropriate altitude and once selected, the UAV 50 circles in flight about the point of interest. Further, the radius, altitude, direction, and speed can be set for the point of interest flight as well as a number of repetitions of the circle. Advantageously, the point of interest flight path in a circle provides an even distance about the cell tower 12 for obtaining photos and video thereof for the 3D model. In an exemplary embodiment of a tape drop model, the UAV 50 will perform four orbits about a monopole cell tower 12 and about five or six orbits about a self-support/guyed cell tower 12. In the exemplary embodiment of a structural analysis model, the number of orbits will be increased from 2 to 3 times to acquire the data needed to construct a more realistic graphic user interface model.

Additionally, the preparation can also include focusing the camera 86 in its view of the cell tower 12 to set the proper exposure. Specifically, if the camera 86's view is too bright or too dark, the 3D modeling software will have issues in matching pictures or frames together to build the 3D model.

Once the preparation is complete and the flight path is set (step 1802), the UAV 50 flies in a plurality of orbits about the cell tower 12 (step 1804). The UAV obtains photos and/or video of the cell tower 12 and the cell site components 14 during each of the plurality of orbits (step 1806). Note, each of the plurality of orbits has different characteristics for obtaining the photos and/or video. Finally, photos and/or video is used to define a 3D model of the cell site 10 (step 1808).

For the plurality of orbits, a first orbit is around the entire cell site 10 to cover the entire cell tower 12 and associated surroundings. For monopole cell towers 12, the radius of the first orbit will typically range from 100 to 150 ft. For self-support cell towers 12, the radius can be up to 200 ft. The UAV 50's altitude should be slightly higher than that of the cell tower for the first orbit. The camera 86 should be tilted slightly down capturing more ground in the background than sky to provide more texture helping the software match the photos. The first orbit should be at a speed of about 4 ft/second (this provides a good speed for battery efficiency and photo spacing). A photo should be taken around every two seconds or at 80 percent overlap decreasing the amount that edges and textures move from each photo. This allows the software to relate those edge/texture points to each photo called tie points.

A second orbit of the plurality of orbits should be closer to the radiation centers of the cell tower 12, typically 30 to 50 ft with an altitude still slightly above the cell tower 12 with the camera 86 pointing downward. The operator should make sure all the cell site components 12 and antennas are in the frame including those on the opposite side of the cell tower 12. This second orbit will allow the 3D model to create better detail on the structure and equipment in between the antennas and the cell site components 14. This will allow contractors to make measurements on equipment between those antennas. The orbit should be done at a speed around 2.6 ft/second and still take photos close to every 2 seconds or keeping an 80 percent overlap.

A third orbit of the plurality of orbits has a lower altitude to around the mean distance between all of the cell site components 14 (e.g., Radio Access Devices (RADs)). With the lower altitude, the camera 86 is raised up such as 5 degrees or more because the ground will have moved up in the frame. This new angle and altitude will allow a full profile of all the antennas and the cell site components 14 to be captures. The orbit will still have a radius around 30 to 50 ft with a speed of about 2.6 ft/second.

The next orbit should be for a self-support cell tower 12. Here, the orbit is expanded to around 50 to 60 ft and the altitude decreased slightly below the cell site components 14 and the camera 86 angled slightly down more capturing all of the cross barring of the self-support structure. All of the structure to the ground does not need to be captured for this orbit but close to it. The portion close to the ground will be captured in the next orbit. However, there needs to be clear spacing in whatever camera angle chosen. The cross members in the foreground should be spaced enough for the cross members on the other side of the cell tower 12 to be visible. This is done for self-support towers 12 because of the complexity of the structure and the need for better detail which is not needed for monopoles in this area. The first orbit for monopoles provides more detail because they are at a closer distance with the cell towers 12 lower height. The speed of the orbit can be increased to around 3 ft/second with the same spacing.

The last orbit for all cell towers 12 should have an increased radius to around 60 to 80 ft with the camera 86 looking more downward at the cell site 10. The altitude should be decreased to get closer to the cell site 10 compound. The altitude should be around 60 to 80 ft but will change slightly depending on the size of the cell site 10 compound. The angle of the camera 86 with the altitude should be such to where the sides and tops of structures such as the shelters will be visible throughout the orbit. It is important to make sure the whole cell site 10 compound is in frame for the entire orbit allowing the capture of every side of everything inside the compound including the fencing. The speed of the orbit should be around 3.5 ft/second with same photo time spacing and overlap.

The total amount of photos that should be taken for a monopole cell tower 12 should be around 300-400 and the total amount of photos for self-support cell tower 12 should be between 400-500 photos. Too many photos can indicate that the photos were taking to close together. Photos taken in succession with more than 80 percent overlap can cause errors in the processing of the model and cause extra noise around the details of the tower and lowering the distinguishable parts for the software.

§ 16.0 3D Modeling Data Capture Systems and Methods Using Multiple Cameras

Referring to FIGS. 29A and 29B, in an exemplary embodiment, block diagrams illustrate a UAV 50 with multiple cameras 86A, 86B, 86C (FIG. 29A) and a camera array 1900 (FIG. 29B). The UAV 50 can include the multiple cameras 86A, 86B, 86C which can be located physically apart on the UAV 50. In another exemplary embodiment, the multiple cameras 86A, 86B, 86C can be in a single housing. In all embodiments, each of the multiple cameras 86A, 86B, 86C can be configured to take a picture of a different location, different area, different focus, etc. That is, the cameras 86A, 86B, 86C can be angled differently, have different focus, etc. The objective is for the cameras 86A, 86B, 86C together to cover a larger area than a single camera 86. In a conventional approach for 3D modeling, the camera 86 is configured to take hundreds of pictures for the 3D model. For example, as described with respect to the 3D modeling method 1800, 300-500 pictures are required for an accurate 3D model. In practice, using the limitations described in the 3D modeling method 1800, this process, such as with the UAV 50, can take hours. It is the objective of the systems and methods with multiple cameras to streamline this process such as reduce this time in half or more. The cameras 86A, 86B, 86C are coordinated and communicatively coupled to one another and the processor 102.

In FIG. 29B, the camera array 1900 includes a plurality of cameras 1902. Each of the cameras 1902 can be individual cameras each with its own settings, i.e., angle, zoom, focus, etc. The camera array 1900 can be mounted on the UAV 50, such as the camera 86. The camera array 1900 can also be portable, mounted on or at the cell site 10, and the like.

In the systems and methods herein, the cameras 86A, 86B, 86C and the camera array 1900 are configured to work cooperatively to obtain pictures to create a 3D model. In an exemplary embodiment, the 3D model is of a cell site 10. As described herein, the systems and methods utilize at least two cameras, e.g., the cameras 86A, 86B, or two cameras 1902 in the camera array 1900. Of course, there can be greater than two cameras. The multiple cameras are coordinated such that one event where pictures are taken produce at least two pictures. Thus, to capture 300-500 pictures, less than 150-250 pictures are actually taken.

Referring to FIG. 30, in an exemplary embodiment, a flowchart illustrates a method 1950 using multiple cameras to obtain accurate three-dimensional (3D) modeling data. In the method 1950, the multiple cameras are used with the UAV 50, but other embodiments are also contemplated. The method 1950 includes causing the UAV to fly a given flight path about a cell tower at the cell site (step 1952); obtaining data capture during the flight path about the cell tower, wherein the data capture includes a plurality of photos or video subject to a plurality of constraints, wherein the plurality of photos are obtained by a plurality of cameras which are coordinated with one another (step 1954); and, subsequent to the obtaining, processing the data capture to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the data capture (step 1956). The method 1950 can further include remotely performing a site survey of the cell site utilizing a Graphical User Interface (GUI) of the 3D model to collect and obtain information about the cell site, the cell tower, one or more buildings, and interiors thereof (step 1958). The flight path can include a plurality of orbits comprising at least four orbits around the cell tower each with a different set of characteristics of altitude, radius, and camera angle.

A launch location and launch orientation can be defined for the UAV to take off and land at the cell site such that each flight at the cell site has the same launch location and launch orientation. The plurality of constraints can include each flight of the UAV having a similar lighting condition and at about a same time of day. A total number of photos can include around 300-400 for the monopole cell tower and 500-600 for the self-support cell tower, and the total number is taken concurrently by the plurality of cameras. The data capture can include a plurality of photographs each with at least 10 megapixels and wherein the plurality of constraints comprises each photograph having at least 75% overlap with another photograph. The data capture can include a video with at least 4 k high definition and wherein the plurality of constraints can include capturing a screen from the video as a photograph having at least 75% overlap with another photograph captured from the video. The plurality of constraints can include a plurality of flight paths around the cell tower with each of the plurality of flight paths at one or more of different elevations and each of the plurality of cameras with different camera angles and different focal lengths.

In another exemplary embodiment, an apparatus adapted to obtain data capture at a cell site for developing a three dimensional (3D) thereof includes a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to cause the UAV to fly a given flight path about a cell tower at the cell site; obtain data capture during the flight path about the cell tower, wherein the data capture comprises a plurality of photos or video subject to a plurality of constraints, wherein the plurality of photos are obtained by a plurality of cameras which are coordinated with one another; and process the obtained data capture to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the data capture.

In a further exemplary embodiment, an Unmanned Aerial Vehicle (UAV) adapted to obtain data capture at a cell site for developing a three dimensional (3D) thereof includes one or more rotors disposed to a body; a plurality of cameras associated with the body; wireless interfaces; a processor coupled to the wireless interfaces and the camera; and memory storing instructions that, when executed, cause the processor to fly the UAV about a given flight path about a cell tower at the cell site; obtain data capture during the flight path about the cell tower, wherein the data capture comprises a plurality of photos or video, wherein the plurality of photos are obtained by a plurality of cameras which are coordinated with one another; and provide the obtained data for a server to process the obtained data capture to define a three dimensional (3D) model of the cell site based on one or more objects of interest in the data capture.

§ 17.0 Multiple Camera Apparatus and Process

Referring to FIGS. 31 and 32, in an exemplary embodiment, diagrams illustrate an multiple camera apparatus 2000 and use of the multiple camera apparatus 2000 in the shelter or cabinet 52 or the interior 900 of the building 902. As previously described herein, the camera 930 can be used in the interior 900 for obtaining photos for 3D modeling and for virtual site surveys. The multiple camera apparatus 2000 is an improvement to the camera 930, enabling multiple photos to be taken simultaneously of different views, angles, zoom, etc. In an exemplary embodiment, the multiple camera apparatus 2000 can be operated by a technician at the building 902 to quickly, efficiently, and properly obtain photos for a 3D model of the interior 900. In another exemplary embodiment, the multiple camera apparatus 2000 can be mounted in the interior 900 and remotely controlled by an operator.

The multiple camera apparatus 2000 includes a post 2002 with a plurality of cameras 2004 disposed or attached to the post 2002. The plurality of cameras 2004 can be interconnected to one another and to a control unit 2006 on the post. The control unit 2006 can include user controls to cause the cameras 2004 to each take a photo and memory for storing the photos from the cameras 2004. The control unit 2006 can further include communication mechanisms to provide the captured photos to a system for 3D modeling (either via a wired and/or wireless connection). In an exemplary embodiment, the post 2002 can be about 6′ and the cameras 2004 can be positioned to enable data capture from the floor to the ceiling of the interior 900.

The multiple camera apparatus 2000 can include other physical embodiments besides the post 2002. For example, the multiple camera apparatus 2000 can include a box with the multiple cameras 2004 disposed therein. In another example, the multiple camera apparatus 2000 can include a handheld device which includes the multiple cameras 2004.

The objective of the multiple camera apparatus 2000 is to enable a technician (either on-site or remote) to quickly capture photos (through use of the multiple cameras 2004) for a 3D model and to properly capture the photos (through the multiple cameras 2004 have different zooms, angles, etc.). That is, the multiple camera apparatus 2000 ensures the photo capture is sufficient to accurately develop the 3D model, avoiding potentially revisiting the building 902.

Referring to FIG. 33, in an exemplary embodiment, a flowchart illustrates a data capture method 2050 in the interior 900 using the multiple camera apparatus 2000. The method 2050 includes obtaining or providing the multiple camera apparatus 2000 at the shelter or cabinet 52 or the interior 900 of the building 902 and positioning the multiple camera apparatus 2000 therein (step 2052). The method 2050 further includes causing the plurality of cameras 2004 to take photos based on the positioning (step 2054) and repositioning the multiple camera apparatus 2000 at a different location in the shelter or cabinet 52 or the interior 900 of the building 902 to take additional photos (step 2056). Finally, the photos taken by the cameras 2004 are provided to a 3D modeling system to develop a 3D model of the shelter or cabinet 52 or the interior 900 of the building 902, such as for a virtual site survey (step 2058).

The repositioning step 2056 can include moving the multiple camera apparatus to each corner of the shelter, the cabinet, or the interior of the building. The repositioning step 2056 can include moving the multiple camera apparatus to each row of equipment in the shelter, the cabinet, or the interior of the building. The multiple camera apparatus can include a pole with the plurality of cameras disposed thereon, each of the plurality of cameras configured for a different view. The plurality of cameras are communicatively coupled to a control unit for the causing step 2054 and/or the providing step 2058. Each of the plurality of cameras can be configured on the multiple camera apparatus for a different view, zoom, and/or angle. The method 2050 can include analyzing the photos subsequent to the repositioning; and determining whether the photos are suitable for the 3D model, and responsive to the photos not being suitable for the 3D model, instructing a user to retake the photos which are not suitable. The method 2050 can include combing the photos of the shelter, the cabinet, or the interior of the building with photos of a cell tower at the cell site, to form a 3D model of the cell site. The method 2050 can include performing a virtual site survey of the cell site using the 3D model. The repositioning step 2056 can be based on a review of the photos taken in the causing.

In a further exemplary embodiment, a method for obtaining data capture at a cell site for developing a three dimensional (3D) thereof includes obtaining or providing the multiple camera apparatus comprising a plurality of cameras at a shelter, a cabinet, or an interior of a building and positioning the multiple camera apparatus therein; causing the plurality of cameras to simultaneously take photos based on the positioning; repositioning the multiple camera apparatus at a different location in the shelter, the cabinet, or the interior of the building to take additional photos; obtaining exterior photos of a cell tower connect to the shelter, the cabinet, or the interior of the building; and providing the photos taken by the multiple camera apparatus and the exterior photos to a 3D modeling system to develop a 3D model of the cell site, for a virtual site survey thereof.

§ 18.0 Cell Site Verification Using 3D Modeling

Referring to FIG. 34, in an exemplary embodiment, a flowchart illustrates a method 2100 for verifying equipment and structures at the cell site 10 using 3D modeling. As described herein, an intermediate step in the creation of a 3D model includes a point cloud, e.g., a sparse or dense point cloud. A point cloud is a set of data points in some coordinate system, e.g., in a three-dimensional coordinate system, these points are usually defined by X, Y, and Z coordinates, and can be used to represent the external surface of an object. Here, the object can be anything associated with the cell site 10, e.g., the cell tower 12, the cell site components 14, etc. As part of the 3D model creation process, a large number of points on an object's surface are determined, and the output is a point cloud in a data file. The point cloud represents the set of points that the device has measured.

Various descriptions were presented herein for site surveys, close-out audits, etc. In a similar manner, there is a need to continually monitor the state of the cell site 10. Specifically, as described herein, conventional site monitoring techniques typically include tower climbs. The UAV 50 and the various approaches described herein provide safe and more efficient alternatives to tower climbs. Additionally, the UAV 50 can be used to provide cell site 10 verification to monitor for site compliance, structural or load issues, defects, and the like. The cell site 10 verification can utilize point clouds to compare “before” and “after” data capture to detect differences.

With respect to site compliance, the cell site 10 is typically owned and operated by a cell site operator (e.g., real estate company or the like) separate from cell service providers with their associated cell site components 14. The typical transaction includes leases between these parties with specific conditions, e.g., number of antennas, amount of equipment, location of equipment, etc. It is advantageous for cell site operators to periodically audit/verify the state of the cell site 10 with respect to compliance, i.e., has cell service provider A added more cell site components 14 than authorized? Similarly, it is important for cell site operators to periodically check the cell site 10 to proactively detect load issues (too much equipment on the structure of the cell tower 12), defects (equipment detached from the structure), etc.

One approach to verifying the cell site 10 is a site survey, including the various approaches to site surveys described herein, including use of 3D models for remote site surveys. In various exemplary embodiments, the method 2100 provides a quick and automated mechanism to quickly detect concerns (i.e., compliance issues, defects, load issues, etc.) using point clouds. Specifically, the method 2100 includes creating an initial point cloud for a cell site 10 or obtaining the initial point cloud from a database (step 2102). The initial point cloud can represent a known good condition, i.e., with no compliance issues, load issues, defects, etc. For example, the initial point cloud could be developed as part of the close-out audit, etc. The initial point cloud can be created using the various data acquisition techniques described herein using the UAV 50. Also, a database can be used to store the initial point cloud.

The initial point cloud is loaded in a device, such as the UAV 50 (step 2104). The point cloud data files can be stored in the memory in a processing device associated with the UAV 50. In an exemplary embodiment, multiple point cloud data files can be stored in the UAV 50, allowing the UAV 50 to be deployed to perform the method 2100 at a plurality of cell sites 10. The device (UAV 50) can be used to develop a second point cloud based on current conditions at the cell site 10 (step 2106). Again, the UAV 50 can use the techniques described herein relative to data acquisition to develop the second point cloud. Note, it is preferably to use a similar data acquisition for both the initial point cloud and the second point cloud, e.g., similar takeoff locations/orientations, similar paths about the cell tower 12, etc. This ensures similarity in the data capture. In an exemplary embodiment, the initial point cloud is loaded to the UAV 50 along with instructions on how to perform the data acquisition for the second point cloud. The second point cloud is developed at a current time, i.e., when it is desired to verify aspects associated with the cell site 10.

Variations are detected between the initial point cloud and the second point cloud (step 2108). The variations could be detected by the UAV 50, in an external server, in a database, etc. The objective here is the initial point cloud and the second point cloud provide a quick and efficient comparison to detect differences, i.e., variations. The method 2100 includes determining if the variations are any of compliance related, load issues, or defects (step 2110). Note, variations can be simply detected based on raw data differences between the point clouds. The step 2110 requires additional processing to determine what the underlying differences are. In an exemplary embodiment, the variations are detected in the UAV 50, and, if detected, additional processing is performed by a server to actually determine the differences based on creating a 3D model of each of the point clouds. Finally, the second point cloud can be stored in the database for future processing (step 2112). An operator of the cell site 10 can be notified via any technique of any determined variations or differences for remedial action based thereon (addressing non-compliance, performing maintenance to fix defects or load issues, etc.).

§ 19.0 Cell Site Audit and Survey Via Photo Stitching

Photo stitching or linking is a technique where multiple photos of either overlapping fields of view or adjacent fields of view are linked together to produce a virtual view or segmented panorama of an area. A common example of this approach is the so-called Street view offered by online map providers. In various exemplary embodiments, the systems and methods enable a remote user to perform a cell site audit, survey, site inspection, etc. using a User Interface (UI) with photo stitching/linking to view the cell site 10. The various activities can include any of the aforementioned activities described herein. Further, the photos can also be obtained using any of the aforementioned techniques. Of note, the photos required for a photo stitched UI are significantly less than those required by the 3D model. However, the photo stitched UI can be based on the photos captured for the 3D model, e.g., a subset of the photos. Alternatively, the photo capture for the photo stitched UI can be captured separately. Variously, the photos for the UI are captured and a linkage is provided between photos. The linkage allows a user to navigate between photos to view up, down, left, or right, i.e., to navigate the cell site 10 via the UI. The linkage can be noted in a photo database with some adjacency indicator. The linkage can be manually entered via a user reviewing the photos or automatically based on location tags associated with the photos.

Referring to FIG. 35, in an exemplary embodiment, a diagram illustrates a photo stitching UI 2200 for cell site audits, surveys, inspections, etc. remotely. The UI 2200 is viewed by a computer accessing a database of a plurality of photos with linkage between each other based on adjacency. The photos are of the cell site 10 and can include the cell tower 12 and associated cell site components as well as interior photos of the shelter or cabinet 52 of the interior 900. The UI 2200 displays a photo of the cell site 12 and the user can navigate to the left to a photo 2202, to the right to a photo 2204, up to a photo 2206, or down to a photo 2208. The navigation between the photos 2202, 2204, 2206, 2208 is based on the links between the photos. In an exemplary embodiment, a navigation icon 2210 is shown in the UI 2200 from which the user can navigate the UI 2200. Also, the navigation can include opening and closing a door to the shelter or cabinet 52.

In an exemplary embodiment, the UI 2200 can include one of the photos 2202, 2204, 2206, 2208 at a time with the navigation moving to a next photo. In another exemplary embodiment, the navigation can scroll between the photos 2202, 2204, 2206, 2208 seamlessly. In either approach, the UI 2200 allows virtual movement around the cell site 10 remotely. The photos 2202, 2204, 2206, 2208 can each be a high resolution photo, e.g., 8 megapixels or more. From the photos 2202, 2204, 2206, 2208, the user can read labels on equipment, check cable runs, check equipment location and installation, check cabling, etc. Also, the user can virtually scale the cell tower 12 avoiding a tower climb. An engineer can use the UI 2200 to perform site expansion, e.g., where to install new equipment. Further, once the new equipment is installed, the associated photos can be updated to reflect the new equipment. It is not necessary to update all photos, but rather only the photos of new equipment locations.

The photos 2202, 2204, 2206, 2208 can be obtained using the data capture techniques described herein. The camera used for capturing the photos can be a 180, 270, or 360 degree camera. These cameras typically include multiple sensors allowing a single photo capture to capture a large view with a wide lens, fish eye lens, etc. The cameras can be mounted on the UAV 50 for capturing the cell tower 12, the multiple camera apparatus 2000, etc. Also, the cameras can be the camera 930 in the interior 900.

Referring to FIG. 36, in an exemplary embodiment, a flowchart illustrates a method 2300 for performing a cell site audit or survey remotely via a User Interface (UI). The method 2300 includes, subsequent to capturing a plurality of photos of a cell site and linking the plurality of photos to one another based on their adjacency at the cell site, displaying the UI to a user remote from the cell site, wherein the plurality of photos cover a cell tower with associated cell site components and an interior of a building at the cell site (step 2302); receiving navigation commands from the user performing the cell site audit or survey (step 2304); and updating the displaying based on the navigation commands, wherein the navigation commands comprise one or more of movement at the cell site and zoom of a current view (step 2306). The capturing the plurality of photos can be performed for a cell tower with an Unmanned Aerial Vehicle (UAV) flying about the cell tower. The linking the plurality of photos can be performed one of manually and automatically based on location identifiers associated with each photo.

The user performing the cell site audit or survey can include determining a down tilt angle of one or more antennas of the cell site components based on measuring three points comprising two defined by each antenna and one by an associated support bar; determining plumb of the cell tower and/or the one or more antennas, azimuth of the one or more antennas using a location determination in the photos; determining dimensions of the cell site components; determining equipment type and serial number of the cell site components; and determining connections between the cell site components. The plurality of photos can be captured concurrently with developing a three-dimensional (3D) model of the cell site. The updating the displaying can include providing a new photo based on the navigation commands. The updating the displaying can include seamlessly panning between the plurality of photos based on the navigation commands.

§ 20.0 Subterranean 3D Modeling

The foregoing descriptions provide techniques for developing a 3D model of the cell site 10, the cell tower 12, the cell site components 14, the shelter or cabinet 52, the interior 900 of the building 902, etc. The 3D model can be used for a cell site audit, survey, site inspection, etc. In addition, the 3D model can also include a subterranean model of the surrounding area associated with the cell site 10. Referring to FIG. 37, in an exemplary embodiment, a perspective diagram illustrates a 3D model 2400 of the cell site 10, the cell tower 12, the cell site components 14, and the shelter or cabinet 52 along with surrounding geography 2402 and subterranean geography 2404. Again, the 3D model 2400 of the cell site 10, the cell tower 12, the cell site components 14, and the shelter or cabinet 52 along with a 3D model of the interior 900 can be constructed using the various techniques described herein.

In various exemplary embodiments, the systems and methods extend the 3D model 2400 to include the surrounding geography 2402 and the subterranean geography 2404. The surrounding geography 2402 represents the physical location around the cell site 10. This can include the cell tower 12, the shelter or cabinet 52, access roads, etc. The subterranean geography 2404 includes the area underneath the surrounding geography 2402.

The 3D model 2400 portion of the surrounding geography 2402 and the subterranean geography 2404 can be used by operators and cell site 10 owners for a variety of purposes. First, the subterranean geography 2404 can show locations of utility constructions including electrical lines, water/sewer lines, gas lines, etc. Knowledge of the utility constructions can be used in site planning and expansion, i.e., where to build new structures, where to run new underground utility constructions, etc. For example, it would make sense to avoid new above ground structures in the surrounding geography 2402 on top of gas lines or other utility constructions if possible. Second, the subterranean geography 2404 can provide insight into various aspects of the cell site 10 such as depth of support for the cell tower 12, the ability of the surrounding geography 2402 to support various structures, the health of the surrounding geography 2402, and the like. For example, for new cell site components 14 on the cell tower 12, the 3D model 2400 can be used to determine whether there will be support issues, i.e., a depth of the underground concrete supports of the cell tower 12.

Data capture for the 3D model 2400 for the subterranean geography 2404 can use various known 3D subterranean modeling techniques such as sonar, ultrasound, LIDAR (Light Detection and Ranging), and the like. Also, the data capture for the 3D model 2400 can utilize external data sources such as utility databases which can include location of the utility constructions noted by location coordinates (e.g., GPS). In an exemplary embodiment, the data capture can be verified with the external data sources, i.e., data from the external data sources can verify the data capture using the 3D subterranean modeling techniques.

The 3D subterranean modeling techniques utilize a data capture device based on the associated technology. In an exemplary embodiment, the data capture device can be on the UAV 50. In addition to performing the data capture techniques described herein for the cell tower 12, the UAV 50 can perform data capture by flying around the surrounding geography 2402 with the data capture device aimed at the subterranean geography 2404. The UAV 50 can capture data for the 3D model 2400 for both the above ground components and the subterranean geography 2404.

In another exemplary embodiment, the data capture device can be used separate from the UAV 50, such as via a human operator moving about the surrounding geography 2402 aiming the data capture device at the subterranean geography 2404, via a robot or the like with the data capture device connected thereto, and the like.

Referring to FIG. 38, in an exemplary embodiment, a flowchart illustrates a method 2400 for creating a three-dimensional (3D) model of a cell site for one or more of a cell site audit, a site survey, and cell site planning and engineering. The method 2450 includes obtaining first data capture for above ground components including a cell tower, associated cell site components on the cell tower, one or more buildings, and surrounding geography around the cell site (step 2452); obtaining second data capture for subterranean geography associated with the surrounding geography (step 2454); utilizing the first data capture and the second data capture to develop the 3D model which includes both the above ground components and the subterranean geography (step 2456); and utilizing the 3D model to perform the one or more of the site audit, the site survey, and the cell site planning and engineering (step 2458).

The method 2450 can further include obtaining third data capture of interiors of the one or more buildings; and utilizing the third data capture to develop the 3D model for the interiors. The obtaining second data capture can be performed with a data capture device using one of sonar, ultrasound, and LIDAR (Light Detection and Ranging). The obtaining first data capture can be performed with an Unmanned Aerial Vehicle (UAV) flying about the cell tower, and wherein the obtaining second data capture can be performed with the data capture device on the UAV. The obtaining first data capture can be performed with an Unmanned Aerial Vehicle (UAV) flying about the cell tower. The first data capture can include a plurality of photos or video subject to a plurality of constraints, wherein the plurality of photos are obtained by a plurality of cameras which are coordinated with one another. The 3D model can be presented in a Graphical User Interface (GUI) to perform the one or more of the site audit, the site survey, and the cell site planning and engineering. The subterranean geography in the 3D model can illustrate support structures of the cell tower and utility constructions in the surrounding geography. The method can further include utilizing an external data source to verify utility constructions in the second data capture for the subterranean geography.

§ 21 3D Model of Cell Sites for Modeling Fiber Connectivity

As described herein, various approaches are described for 3D models for cell sites for cell site audits, site surveys, close-out audits, etc. which can be performed remotely (virtual). In an exemplary embodiment, the 3D model is further extended to cover surrounding areas focusing on fiber optic cables near the cell site. Specifically, with the fiber connectivity in the 3D model, backhaul connectivity can be determined remotely.

Referring to FIG. 39, in an exemplary embodiment, a perspective diagram illustrates the 3D model 2400 of the cell site 10, the cell tower 12, the cell site components 14, and the shelter or cabinet 52 along with surrounding geography 2402, subterranean geography 2404, and fiber connectivity 2500. Again, the 3D model 2400 of the cell site 10, the cell tower 12, the cell site components 14, and the shelter or cabinet 52 along with a 3D model of the interior 900 can be constructed using the various techniques described herein. Specifically, FIG. 39 extends the 3D model 2400 in FIG. 38 and in other areas described herein to further include fiber cabling.

As previously described, the systems and methods extend the 3D model 2400 to include the surrounding geography 2402 and the subterranean geography 2404. The surrounding geography 2402 represents the physical location around the cell site 10. This can include the cell tower 12, the shelter or cabinet 52, access roads, etc. The subterranean geography 2404 includes the area underneath the surrounding geography 2402. Additionally, the 3D model 2400 also includes the fiber connectivity 2500 including components above ground in the surrounding geography 2402 and as well as the subterranean geography 2404.

The fiber connectivity 2500 can include poles 2502 and cabling 2504 on the poles 2502. The 3D model 2400 can include the fiber connectivity 2500 at the surrounding geography 2402 and the subterranean geography 2404. Also, the 3D model can extend out from the surrounding geography 2402 on a path associated with the fiber connectivity 2500 away from the cell site 10. Here, this can give the operator the opportunity to see where the fiber connectivity 2500 extends. Thus, various 3D models 2400 can provide a local view of the cell sites 10 as well as fiber connectivity 2500 in a geographic region. With this information, the operator can determine how close fiber connectivity 2500 is to current or future cell sites 10, as well as perform site planning.

A geographic region can include a plurality of 3D models 2400 along with the fiber connectivity 2500 across the region. A collection of these 3D models 2400 in the region enables operators to perform more efficient site acquisition and planning.

Data capture of the fiber connectivity 2500 can be through the UAV 50 as described herein. Advantageously, the UAV 50 is efficient to capture photos or video of the fiber connectivity 2500 without requiring site access (on the ground) as the poles 2502 and the cabling 2504 may traverse private property, etc. Also, other forms of data capture are contemplated such as via a car with a camera, a handheld camera, etc.

The UAV 50 can be manually flown at the cell site 10 and once the cabling 2504 is identified, an operator can trace the cabling 2504 to capture photos or video for creating the 3D model 2400 with the fiber connectivity 2500. For example, the operator can identify the fiber connectivity 2500 near the cell site 10 in the surrounding geography 2402 and then cause the UAV 50 to fly a path similar to the path taken by the fiber connectivity 2500 while performing data capture. Once the data is captured, the photos or video can be used to develop a 3D model of the fiber connectivity 2500 which can be incorporated in the 3D model 2400. Also, the data capture can use the techniques for the subterranean geography 2404 as well.

Referring to FIG. 40, in an exemplary embodiment, a flowchart illustrates a method 2550 for creating a three-dimensional (3D) model of a cell site and associated fiber connectivity for one or more of a cell site audit, a site survey, and cell site planning and engineering. The method 2550 includes determining fiber connectivity at or near the cell site (step 2552); obtaining first data capture of the fiber connectivity at or near the cell site (step 2554); obtaining second data capture of one or more paths of the fiber connectivity from the cell site (step 2556); obtaining third data capture of the cell site including a cell tower, associated cell site components on the cell tower, one or more buildings, and surrounding geography around the cell site (step 2558); utilizing the first data capture, the second data capture, and the third data capture to develop the 3D model which comprises the cell site and the fiber connectivity (step 2560); and utilizing the 3D model to perform the one or more of the site audit, the site survey, and the cell site planning and engineering (step 2560).

The method 2550 can further include obtaining fourth data capture for subterranean geography associated with the surrounding geography of the cell site; and utilizing the fourth data capture with the first data capture, the second data capture, and the third data capture to develop the 3D model. The fourth second data capture can be performed with a data capture device using one of sonar, ultrasound, photogrammetry, and LIDAR (Light Detection and Ranging).

The method 2550 can further include obtaining fifth data capture of interiors of one or more buildings at the cell site; and utilizing the fifth data capture with the first data capture, the second data capture, the third data capture, and the fourth data capture to develop the 3D model. The obtaining first data capture and the obtaining second data capture can be performed with an Unmanned Aerial Vehicle (UAV) flying about the cell tower with a data capture device on the UAV. An operator can cause the UAV to fly the one or more paths to obtain the second data capture.

The obtaining first data capture, the obtaining second data capture, and the obtaining third data capture can be performed with an Unmanned Aerial Vehicle (UAV) flying about the cell tower with a data capture device on the UAV. The third data capture can include a plurality of photos or video subject to a plurality of constraints, wherein the plurality of photos are obtained by a plurality of cameras which are coordinated with one another. The 3D model can be presented in a Graphical User Interface (GUI) to perform the one or more of the site audit, the site survey, and the cell site planning and engineering.

In a further exemplary embodiment, an apparatus adapted to create a three-dimensional (3D) model of a cell site and associated fiber connectivity for one or more of a cell site audit, a site survey, and cell site planning and engineering includes a network interface, a data capture device, and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to determine fiber connectivity at or near the cell site based on feedback from the data capture device; obtain first data capture of the fiber connectivity at or near the cell site; obtain second data capture of one or more paths of the fiber connectivity from the cell site; obtain third data capture of the cell site including a cell tower, associated cell site components on the cell tower, one or more buildings, and surrounding geography around the cell site; utilize the first data capture, the second data capture, and the third data capture to develop the 3D model which comprises the cell site and the fiber connectivity; and utilize the 3D model to perform the one or more of the site audit, the site survey, and the cell site planning and engineering.

§ 22 Detecting Changes at the Cell Site and Surrounding Area Using UAVs

Referring to FIG. 41, in an exemplary embodiment, a perspective diagram illustrates a cell site 10 with the surrounding geography 2402. FIG. 41 is an example of a typical cell site. The cell tower 12 can generally be classified as a self-support tower, a monopole tower, and a guyed tower. These three types of cell towers 12 have different support mechanisms. The self-support tower can also be referred to as a lattice tower and it is free standing, with a triangular base with three or four sides. The monopole tower is a single tube tower and it is also free standing, but typically at a lower height than the self-support tower. The guyed tower is a straight rod supported by wires attached to the ground. The guyed tower needs to be inspected every 3 years or so, the self-support tower needs to be inspected every 5 years, and the monopole tower needs to be inspected every 7 years. Again, the owners (real estate companies generally) of the cell site 10 have to be able to inspect these sites efficiently and effectively, especially given the tremendous number of sites—hundreds of thousands.

A typical cell site 10 can include the cell tower 12 and the associated cell site components 14 as described herein. The cell site 10 can also include the shelter or cabinet 52 and other physical structures—buildings, outside plant cabinets, etc. The cell site 10 can include aerial cabling, an access road 2600, trees, etc. The cell site operator is concerned generally about the integrity of all of the aspects of the cell site 10 including the cell tower 12 and the cell site components 14 as well as everything in the surrounding geography 2402. In general, the surrounding geography 2402 can be about an acre; although other sizes are also seen.

Conventionally, the cell site operator had inspections performed manually with on-site personnel, with a tower climb, and with visual inspection around the surrounding geography 2402. The on-site personnel can capture data and observations and then return to the office to compare and contrast with engineering records. That is, the on-site personnel capture data, it is then compared later with existing site plans, close-out audits, etc. This process is time-consuming and manual.

To address these concerns, the systems and methods propose a combination of the UAV 50 and 3D models of the cell site 10 and surrounding geography 2402 to quickly capture and compare data. This capture and compare can be done in one step on-site, using the UAV 50 and optionally the mobile device 100, quickly and accurately. First, an initial 3D model 2400 is developed. This can be as part of a close-out audit or part of another inspection. The 3D model 2400 can be captured using the 3D modeling systems and methods described herein. This initial 3D model 2400 can be referred to as a known good situation. The data from the 3D model 2400 can be provided to the UAV 50 or the mobile device 100, and a subsequent inspection can use this initial 3D model 2400 to simultaneously capture current data and compare the current data with the known good situation. Any deviations are flagged. The deviations can be changes to the physical infrastructure, structural problems, ground disturbances, potential hazards, loss of gravel on the access road 2600 such as through wash out, etc.

Referring to FIG. 42, in an exemplary embodiment, a flowchart illustrates a method 2650 for cell site inspection by a cell site operator using the UAV 50 and a processing device, such as the mobile device 100 or a processor associated with the UAV 50. The method 2650 includes creating an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography (step 2652); providing the initial computer model to one or more of the UAV and the processing device (step 2654); capturing current data of the cell site and the surrounding geography at a second point in time using the UAV (step 2656); comparing the current data to the initial computer model by the processing device (step 2658); and identifying variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time (step 2660).

The method can further include specifically describing the variances based on comparing the current data and the initial computer model, wherein the variances comprise any of changes to a cell tower, changes to cell site components on the cell tower, ground hazards, state of an access road, and landscape changes in the surrounding geography. The initial computer model can be a three-dimensional (3D) model described by a point cloud, and where the comparing comprises comparison of the current data to the point cloud. The initial computer model can be determined as part of one of a close-out audit and a site inspection where it is determined that the initial computer model represents the known good state. The UAV can be utilized to capture data for the initial computer model and the UAV is utilized in capturing the current data. A flight plan of the UAV around a cell tower can be based on a type of the cell tower including any of a self-support tower, a monopole tower, and a guyed tower. The initial computer model can be a three-dimensional (3D) model viewed in a Graphical User Interface, and wherein the method can further include creating a second 3D model based on the current data and utilizing the second 3D model if it is determined that the cell site is in the known good state based on the current data.

In another exemplary embodiment, a processing device for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV) includes a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to, responsive to creation of an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography, receive the initial computer model; receive captured current data of the cell site and the surrounding geography at a second point in time using the UAV; compare the current data to the initial computer model; and identify variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time.

In a further exemplary embodiment, a non-transitory computer readable medium includes instructions that, when executed, cause one or more processors to perform the steps of: creating an initial computer model of a cell site and surrounding geography at a first point in time, wherein the initial computer model represents a known good state of the cell site and the surrounding geography; providing the initial computer model to one or more of an Unmanned Aerial Vehicle (UAV), and a processing device; capturing current data of the cell site and the surrounding geography at a second point in time using the UAV; comparing the current data to the initial computer model by the processing device; and identifying variances between the current data and the initial computer model, wherein the variances comprise differences at the cell site and the surrounding geography between the first point in time and the second point in time.

Although the present disclosure has been illustrated and described herein with reference to preferred embodiments and specific examples thereof, it will be readily apparent to those of ordinary skill in the art that other embodiments and examples may perform similar functions and/or achieve like results. All such equivalent embodiments and examples are within the spirit and scope of the present disclosure, are contemplated thereby, and are intended to be covered by the following claims. 

What is claimed is:
 1. A method for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV) and a processing device, the method comprising: utilizing the UAV to capture initial data of a cell site and surrounding geography; creating an initial computer model of the cell site and surrounding geography from the initial data, wherein the initial computer model represents a known good state of the cell site and the surrounding geography at a first point in time, and wherein the initial computer model is a three-dimensional (3D) model defined by an initial point cloud; utilizing the UAV to capture current data of the cell site and the surrounding geography; creating a current computer model of the cell site and surrounding geography from the current data, wherein the current computer model represents the condition of the cell site and surrounding geography at a second point in time after the first point in time, and wherein the current computer model is a 3D model defined by a second point cloud; comparing the second point cloud of the current computer model to the initial point cloud of the initial computer model by the processing device; and identifying variances between the second point cloud of the current computer model and the initial point cloud of the initial computer model by the processing device, wherein the variances comprise differences in the condition of the cell site and the surrounding geography between the first point in time and the second point in time.
 2. The method of claim 1, further comprising: specifically describing the variances based on comparing the second point cloud of the current computer model and the initial point cloud of the initial computer model, wherein the variances comprise any of changes to a cell tower, changes to cell site components on the cell tower, ground hazards, state of an access road, and landscape changes in the surrounding geography.
 3. The method of claim 1, wherein the initial computer model is determined as part of one of a close-out audit and a site inspection where it is determined that the initial computer model represents the known good state.
 4. The method of claim 1, wherein a flight plan of the UAV around a cell tower is based on a type of the cell tower comprising any of a self-support tower, a monopole tower, and a guyed tower.
 5. The method of claim 1, wherein the initial computer model is a three-dimensional (3D) model viewed in a Graphical User Interface, and wherein the method further comprises: creating a second 3D model based on the current data and utilizing the second 3D model if it is determined that the cell site is in the known good state based on the current data.
 6. A processing device for cell site inspection by a cell site operator using an Unmanned Aerial Vehicle (UAV), the processing device comprising: a network interface and a processor communicatively coupled to one another; and memory storing instructions that, when executed, cause the processor to receive initial data captured by the UAV of a cell site and surrounding geography; create an initial computer model from the initial data captured by the UAV, wherein the initial computer model represents a known good state of the cell site and the surrounding geography at a first point in time, and wherein the initial computer model is a three-dimensional (3D) model defined by an initial point cloud; receive current data captured by the UAV of the cell site and the surrounding geography; creating a current computer model from the current data captured by the UAV, wherein the current computer model represents the condition of the cell site and surrounding geography at a second point in time after the first point in time, and wherein the current computer model is a 3D model defined by a second point cloud; compare the second point cloud of the current computer model to the initial point cloud of the initial computer model; and identify variances between the second point cloud of the current computer model and the initial point cloud of the initial computer model, wherein the variances comprise differences in the condition of the cell site and the surrounding geography between the first point in time and the second point in time.
 7. The processing device of claim 6, wherein the instructions, when executed, further cause the processor to specifically describe the variances based on comparing the second point cloud of the current computer model and the initial point cloud of the initial computer model, wherein the variances comprise any of changes to a cell tower, changes to cell site components on the cell tower, ground hazards, state of an access road, and landscape changes in the surrounding geography.
 8. The processing device of claim 6, wherein the initial computer model is determined as part of one of a close-out audit and a site inspection where it is determined that the initial computer model represents the known good state.
 9. The processing device of claim 6, wherein a flight plan of the UAV around a cell tower is based on a type of the cell tower comprising any of a self-support tower, a monopole tower, and a guyed tower.
 10. The processing device of claim 6, wherein the initial computer model is a three-dimensional (3D) model viewed in a Graphical User Interface, and wherein the instructions, when executed, further cause the processor to create a second 3D model based on the current data and use the second 3D model if it is determined that the cell site is in the known good state based on the current data.
 11. A non-transitory computer readable medium including instructions that, when executed, cause one or more processors to perform the steps of: receiving initial data captured by an Unmanned Aerial Vehicle (UAV) of a cell site and surrounding geography; creating an initial computer model of the cell site and surrounding geography from the data received by the UAV, wherein the initial computer model represents a known good state of the cell site and the surrounding geography at a first point in time, and wherein the initial computer model is a three-dimensional (3D) model defined by an initial point cloud; receiving current data captured by the UAV of the cell site and the surrounding geography; creating a current computer model of the cell site and surrounding geography from the current data, wherein the current computer model represents the condition of the cell site and surrounding geography at a second point in time after the first point in time, and wherein the current computer model is a 3D model defined by a second point cloud; comparing the second point cloud of the current computer model to the initial point cloud of the initial computer model; and identifying variances between the second point cloud of the current computer model and the initial point cloud of the initial computer model, wherein the variances comprise differences in the condition of the cell site and the surrounding geography between the first point in time and the second point in time.
 12. The non-transitory computer readable medium of claim 11, wherein the instructions, when executed, further cause the one or more processors to perform the step of: describing the variances based on a comparison between the second point cloud of the current computer model and the initial point cloud of the initial computer model, wherein the variances comprise any of changes to a cell tower, changes to cell site components positioned on the cell tower, newly recognized ground hazards, changes to the state of an access road, and changes to landscape in the surrounding geography.
 13. The non-transitory computer readable medium of claim 11, wherein the instructions, when executed, further cause the one or more processors to create the initial computer model as part of one of a close-out audit or a site inspection where the initial computer model is determined to represent the known good state.
 14. The non-transitory computer readable medium 11, wherein a flight plan of the UAV around a cell tower is based on a type of the cell tower comprising any of a self-support tower, a monopole tower, and a guyed tower.
 15. The non-transitory computer readable medium of claim 11, wherein the instructions, when executed, further cause the one or more processors to perform the steps of: displaying the initial computer model as the 3D model in a Graphical User Interface; creating a second 3D model based on the current data; and utilizing the second 3D model if it is determined that the cell site is in the known good state based on the current data. 